Skip to content
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
Python
Branch: master
Clone or download
Latest commit c277dfe Aug 14, 2019

README.md

2019 / 8 / 14

Date Title Links
2019-08-13 Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching Abstract | PDF
2019-08-13 Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspective Abstract | PDF
2019-08-13 Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking Abstract | PDF
2019-08-11 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables Abstract | PDF
2019-08-11 Transcriptional Response of SK-N-AS Cells to Methamidophos Abstract | PDF
2019-08-11 LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations Abstract | PDF
2019-08-09 Detecting Heterogeneous Treatment Effect with Instrumental Variables Abstract | PDF
2019-08-08 Measurable Counterfactual Local Explanations for Any Classifier Abstract | PDF
2019-08-06 Experiential AI Abstract | PDF
2019-08-02 Efficient computation of counterfactual explanations of LVQ models Abstract | PDF
2019-07-31 DROGON: A Causal Reasoning Framework for Future Trajectory Forecast Abstract | PDF
2019-07-30 Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning Abstract | PDF
2019-07-29 The Challenge of Imputation in Explainable Artificial Intelligence Models Abstract | PDF
2019-07-29 Bandits with Feedback Graphs and Switching Costs Abstract | PDF
2019-07-26 Learning Task Specifications from Demonstrations via the Principle of Maximum Causal Entropy Abstract | PDF
2019-07-26 von Neumann-Morgenstern and Savage Theorems for Causal Decision Making Abstract | PDF
2019-07-26 On the Value of Bandit Feedback for Offline Recommender System Evaluation Abstract | PDF
2019-07-24 Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products Abstract | PDF
2019-07-24 Towards Logical Specification of Statistical Machine Learning Abstract | PDF
2019-07-24 Info Intervention Abstract | PDF
2019-07-24 One-Shot Mutual Affine-Transfer for Photorealistic Stylization Abstract | PDF
2019-07-23 Off-policy Learning for Multiple Loggers Abstract | PDF
2019-07-22 Low-Variance and Zero-Variance Baselines for Extensive-Form Games Abstract | PDF
2019-07-22 Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems Abstract | PDF
2019-07-22 VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions Abstract | PDF
2019-07-22 The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Abstract | PDF
2019-07-18 A discriminative approach for finding and characterizing positivity violations using decision trees Abstract | PDF
2019-07-18 ELG: An Event Logic Graph Abstract | PDF
2019-07-16 Explaining Classifiers with Causal Concept Effect (CaCE) Abstract | PDF
2019-07-15 Audits as Evidence: Experiments, Ensembles, and Enforcement Abstract | PDF
2019-07-15 A Causal Bayesian Networks Viewpoint on Fairness Abstract | PDF
2019-07-14 Counterfactual Reasoning for Fair Clinical Risk Prediction Abstract | PDF
2019-07-14 Task Selection Policies for Multitask Learning Abstract | PDF
2019-07-12 Saliency Maps Generation for Automatic Text Summarization Abstract | PDF
2019-07-12 From Observability to Significance in Distributed Information Systems Abstract | PDF
2019-07-11 Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle Abstract | PDF
2019-07-11 Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations Abstract | PDF
2019-07-10 Explaining an increase in predicted risk for clinical alerts Abstract | PDF
2019-07-10 Quantifying Error in the Presence of Confounders for Causal Inference Abstract | PDF
2019-07-10 Representing Attitudes Towards Ambiguity in Managerial Decisions Abstract | PDF
2019-07-10 Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) Abstract | PDF
2019-07-09 Characterization of Overlap in Observational Studies Abstract | PDF
2019-07-09 Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference Abstract | PDF
2019-07-09 Conditional Independence Testing using Generative Adversarial Networks Abstract | PDF
2019-07-08 Generalized Control Functions via Variational Decoupling Abstract | PDF
2019-07-06 Generative Counterfactual Introspection for Explainable Deep Learning Abstract | PDF
2019-07-06 Human detection of machine manipulated media Abstract | PDF
2019-07-05 Invariant Risk Minimization Abstract | PDF
2019-07-04 Explaining Predictions from Tree-based Boosting Ensembles Abstract | PDF
2019-07-04 On Open-Universe Causal Reasoning Abstract | PDF
2019-07-03 Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients Abstract | PDF
2019-07-03 Circuit-Based Intrinsic Methods to Detect Overfitting Abstract | PDF
2019-07-03 Interpretable Counterfactual Explanations Guided by Prototypes Abstract | PDF
2019-07-02 Adjustment Criteria for Recovering Causal Effects from Missing Data Abstract | PDF
2019-07-02 Reproducibility in Machine Learning for Health Abstract | PDF
2019-07-01 The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Abstract | PDF
2019-06-30 Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks Abstract | PDF
2019-06-30 Collaboration of AI Agents via Cooperative Multi-Agent Deep Reinforcement Learning Abstract | PDF
2019-06-29 Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates Abstract | PDF
2019-06-29 Identification In Missing Data Models Represented By Directed Acyclic Graphs Abstract | PDF
2019-06-29 Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Abstract | PDF
2019-06-29 Causal Inference Under Interference And Network Uncertainty Abstract | PDF
2019-06-28 The Impact of Feature Causality on Normal Behaviour Models for SCADA-based Wind Turbine Fault Detection Abstract | PDF
2019-06-28 Causal Regularization Abstract | PDF
2019-06-28 Direct Estimation of Difference Between Structural Equation Models in High Dimensions Abstract | PDF
2019-06-27 Interpretable Almost-Matching-Exactly With Instrumental Variables Abstract | PDF
2019-06-27 Approximate Causal Abstraction Abstract | PDF
2019-06-26 Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps Abstract | PDF
2019-06-26 Rethinking Formal Models of Partially Observable Multiagent Decision Making Abstract | PDF
2019-06-25 Explaining Deep Learning Models with Constrained Adversarial Examples Abstract | PDF
2019-06-25 A Self-supervised Approach to Hierarchical Forecasting with Applications to Groupwise Synthetic Controls Abstract | PDF
2019-06-25 An Unsupervised Bayesian Neural Network for Truth Discovery Abstract | PDF
2019-06-25 Learning Causal State Representations of Partially Observable Environments Abstract | PDF
2019-06-24 GANalyze: Toward Visual Definitions of Cognitive Image Properties Abstract | PDF
2019-06-24 Deep Exemplar-based Video Colorization Abstract | PDF
2019-06-24 Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding Abstract | PDF
2019-06-24 Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU Abstract | PDF
2019-06-21 Generating Counterfactual and Contrastive Explanations using SHAP Abstract | PDF
2019-06-21 Filter Early, Match Late: Improving Network-Based Visual Place Recognition Abstract | PDF
2019-06-20 Modeling AGI Safety Frameworks with Causal Influence Diagrams Abstract | PDF
2019-06-18 Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment Abstract | PDF
2019-06-18 Estimating a Manifold from a Tangent Bundle Learner Abstract | PDF
2019-06-18 Transfer Learning for Causal Sentence Detection Abstract | PDF
2019-06-17 A Bayesian Solution to the M-Bias Problem Abstract | PDF
2019-06-17 Replacing the do-calculus with Bayes rule Abstract | PDF
2019-06-14 Detecting Bias with Generative Counterfactual Face Attribute Augmentation Abstract | PDF
2019-06-14 A Signal Propagation Perspective for Pruning Neural Networks at Initialization Abstract | PDF
2019-06-14 Distributionally Robust Counterfactual Risk Minimization Abstract | PDF
2019-06-14 Identify treatment effect patterns for personalised decisions Abstract | PDF
2019-06-12 Reinforcement Knowledge Graph Reasoning for Explainable Recommendation Abstract | PDF
2019-06-12 Joint Reasoning for Temporal and Causal Relations Abstract | PDF
2019-06-11 Issues with post-hoc counterfactual explanations: a discussion Abstract | PDF
2019-06-11 Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology Abstract | PDF
2019-06-11 Efficient structure learning with automatic sparsity selection for causal graph processes Abstract | PDF
2019-06-11 Causal Discovery with Reinforcement Learning Abstract | PDF
2019-06-11 Probabilistic Forecasting with Temporal Convolutional Neural Network Abstract | PDF
2019-06-11 Learning Powerful Policies by Using Consistent Dynamics Model Abstract | PDF
2019-06-10 Estimating Causal Effects of Tone in Online Debates Abstract | PDF
2019-06-10 E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles Abstract | PDF
2019-06-09 Robust conditional GANs under missing or uncertain labels Abstract | PDF
2019-06-08 Learning Individual Treatment Effects from Networked Observational Data Abstract | PDF
2019-06-07 Detecting the Starting Frame of Actions in Video Abstract | PDF
2019-06-07 Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck Abstract | PDF
2019-06-06 Counterfactual Inference for Consumer Choice Across Many Product Categories Abstract | PDF
2019-06-06 ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions Abstract | PDF
2019-06-05 Finding Friend and Foe in Multi-Agent Games Abstract | PDF
2019-06-05 Gradient-Based Neural DAG Learning Abstract | PDF
2019-06-05 Adapting Neural Networks for the Estimation of Treatment Effects Abstract | PDF
2019-06-05 CCMI : Classifier based Conditional Mutual Information Estimation Abstract | PDF
2019-06-05 Prediction of Workplace Injuries Abstract | PDF
2019-06-04 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation Abstract | PDF
2019-06-04 The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis Abstract | PDF
2019-06-04 Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Abstract | PDF
2019-06-04 RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction Abstract | PDF
2019-06-04 From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification Abstract | PDF
2019-06-03 2019 Evolutionary Algorithms Review Abstract | PDF
2019-06-02 An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference Abstract | PDF
2019-06-01 Kernel Instrumental Variable Regression Abstract | PDF
2019-06-01 Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes Abstract | PDF
2019-05-31 Symbol Emergence as an Interpersonal Multimodal Categorization Abstract | PDF
2019-05-30 Rarely-switching linear bandits: optimization of causal effects for the real world Abstract | PDF
2019-05-30 Multiple Causes: A Causal Graphical View Abstract | PDF
2019-05-29 The Label Complexity of Active Learning from Observational Data Abstract | PDF
2019-05-29 Using Text Embeddings for Causal Inference Abstract | PDF
2019-05-29 Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach Abstract | PDF
2019-05-29 Evaluating structure learning algorithms with a balanced scoring function Abstract | PDF
2019-05-29 Private Causal Inference using Propensity Scores Abstract | PDF
2019-05-29 Deep Generalized Method of Moments for Instrumental Variable Analysis Abstract | PDF
2019-05-28 Semi-Supervised Learning, Causality and the Conditional Cluster Assumption Abstract | PDF
2019-05-28 Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions Abstract | PDF
2019-05-28 Causal Confusion in Imitation Learning Abstract | PDF
2019-05-28 Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy Abstract | PDF
2019-05-27 Ancestral causal learning in high dimensions with a human genome-wide application Abstract | PDF
2019-05-27 Model-Agnostic Counterfactual Explanations for Consequential Decisions Abstract | PDF
2019-05-27 Explainable Reinforcement Learning Through a Causal Lens Abstract | PDF
2019-05-27 Learning Policies from Human Data for Skat Abstract | PDF
2019-05-26 Equal Opportunity and Affirmative Action via Counterfactual Predictions Abstract | PDF
2019-05-26 Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models Abstract | PDF
2019-05-26 When to reply? Context Sensitive Models to Predict Instructor Interventions in MOOC Forums Abstract | PDF
2019-05-25 HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference Abstract | PDF
2019-05-24 Dirac Delta Regression: Conditional Density Estimation with Clinical Trials Abstract | PDF
2019-05-24 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments Abstract | PDF
2019-05-23 Augmenting correlation structures in spatial data using deep generative models Abstract | PDF
2019-05-23 From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use Abstract | PDF
2019-05-23 Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring Abstract | PDF
2019-05-23 Causal Discovery with Cascade Nonlinear Additive Noise Models Abstract | PDF
2019-05-21 A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks Abstract | PDF
2019-05-20 Conditionally-additive-noise Models for Structure Learning Abstract | PDF
2019-05-20 Can Bio-Inspired Swarm Algorithms Scale to Modern Societal Problems Abstract | PDF
2019-05-20 Decoding the Rejuvenating Effects of Mechanical Loading on Skeletal Maturation using in Vivo Imaging and Deep Learning Abstract | PDF
2019-05-20 CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models Abstract | PDF
2019-05-19 Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations Abstract | PDF
2019-05-17 Contrastive Algorithmic Fairness: Part 1 (Theory) Abstract | PDF
2019-05-17 How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins Abstract | PDF
2019-05-16 Stability of Linear Structural Equation Models of Causal Inference Abstract | PDF
2019-05-16 MoGlow: Probabilistic and controllable motion synthesis using normalising flows Abstract | PDF
2019-05-16 Additive Adversarial Learning for Unbiased Authentication Abstract | PDF
2019-05-14 Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models Abstract | PDF
2019-05-14 Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice Abstract | PDF
2019-05-14 Experimental Evaluation of Individualized Treatment Rules Abstract | PDF
2019-05-11 Explainable AI for Trees: From Local Explanations to Global Understanding Abstract | PDF
2019-05-11 Boosting Generative Models by Leveraging Cascaded Meta-Models Abstract | PDF
2019-05-11 Learning Robotic Manipulation through Visual Planning and Acting Abstract | PDF
2019-05-09 Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack Abstract | PDF
2019-05-08 Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines Abstract | PDF
2019-05-06 Learning Causality: Synthesis of Large-Scale Causal Networks from High-Dimensional Time Series Data Abstract | PDF
2019-05-04 Detecting Pathogenic Social Media Accounts without Content or Network Structure Abstract | PDF
2019-05-04 An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter Abstract | PDF
2019-05-02 Visualizing Deep Networks by Optimizing with Integrated Gradients Abstract | PDF
2019-04-30 Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data Abstract | PDF
2019-04-30 Online Causal Structure Learning in the Presence of Latent Variables Abstract | PDF
2019-04-30 Efficiently Checking Actual Causality with SAT Solving Abstract | PDF
2019-04-29 Predictive Situation Awareness for Ebola Virus Disease using a Collective Intelligence Multi-Model Integration Platform: Bayes Cloud Abstract | PDF
2019-04-29 DeLiO: Decoupled LiDAR Odometry Abstract | PDF
2019-04-28 Optimizing regularized Cholesky score for order-based learning of Bayesian networks Abstract | PDF
2019-04-26 Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding Abstract | PDF
2019-04-26 Distributed Classification of Urban Congestion Using VANET Abstract | PDF
2019-04-26 Neural Ideal Point Estimation Network Abstract | PDF
2019-04-24 Mercator: uncovering faithful hyperbolic embeddings of complex networks Abstract | PDF
2019-04-24 Solving zero-sum extensive-form games with arbitrary payoff uncertainty models Abstract | PDF
2019-04-24 Beauty Learning and Counterfactual Inference Abstract | PDF
2019-04-23 Risk Structures: Towards Engineering Risk-aware Autonomous Systems Abstract | PDF

2019 / 4 / 23

Date Title Links
2019-04-19 Transfer Entropy: where Shannon meets Turing Abstract | PDF
2019-04-19 Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA Abstract | PDF
2019-04-18 Exploring the Limitations of Behavior Cloning for Autonomous Driving Abstract | PDF
2019-04-18 Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding Abstract | PDF
2019-04-18 Learning to Collocate Neural Modules for Image Captioning Abstract | PDF
2019-04-17 Explainability in Human-Agent Systems Abstract | PDF
2019-04-17 People infer recursive visual concepts from just a few examples Abstract | PDF
2019-04-16 Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings Abstract | PDF
2019-04-16 Counterfactual Visual Explanations Abstract | PDF
2019-04-11 Compressing deep neural networks by matrix product operators Abstract | PDF
2019-04-11 Deep Neural Network Ensembles Abstract | PDF
2019-04-10 Scanner Invariant Representations for Diffusion MRI Harmonization Abstract | PDF
2019-04-10 Active Learning for Decision-Making from Imbalanced Observational Data Abstract | PDF
2019-04-08 On assumption-free tests and confidence intervals for causal effects estimated by machine learning Abstract | PDF
2019-04-08 Plant-wide fault and disturbance screening using combined transfer entropy and eigenvector centrality analysis Abstract | PDF
2019-04-08 The Kikuchi Hierarchy and Tensor PCA Abstract | PDF
2019-04-07 A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Abstract | PDF
2019-04-07 Modularized Textual Grounding for Counterfactual Resilience Abstract | PDF
2019-04-06 Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation Abstract | PDF
2019-04-06 Reinforcement Learning with Attention that Works: A Self-Supervised Approach Abstract | PDF
2019-04-04 What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems Abstract | PDF
2019-04-04 UU-Nets Connecting Discriminator and Generator for Image to Image Translation Abstract | PDF
2019-04-03 Robust Multi-agent Counterfactual Prediction Abstract | PDF
2019-04-03 The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs) Abstract | PDF
2019-04-03 OpBerg: Discovering causal sentences using optimal alignments Abstract | PDF
2019-04-02 Synthetic learner: model-free inference on treatments over time Abstract | PDF
2019-04-01 Dynamically optimal treatment allocation using Reinforcement Learning Abstract | PDF
2019-04-01 Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung Cancer with Deep Learning Abstract | PDF
2019-04-01 Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach Abstract | PDF
2019-03-30 On Arrhythmia Detection by Deep Learning and Multidimensional Representation Abstract | PDF
2019-03-29 Interpreting Black Box Models with Statistical Guarantees Abstract | PDF
2019-03-27 Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality Abstract | PDF
2019-03-27 Generalized Off-Policy Actor-Critic Abstract | PDF
2019-03-27 On Attribution of Recurrent Neural Network Predictions via Additive Decomposition Abstract | PDF
2019-03-25 End-to-End Learning Using Cycle Consistency for Image-to-Caption Transformations Abstract | PDF
2019-03-24 Machine Learning Methods Economists Should Know About Abstract | PDF
2019-03-22 Impulse Response and Granger Causality in Dynamical Systems with Autoencoder Nonlinear Vector Autoregressions Abstract | PDF
2019-03-18 Counterpoint by Convolution Abstract | PDF
2019-03-16 Emotion Action Detection and Emotion Inference: the Task and Dataset Abstract | PDF
2019-03-14 Recurrence required to capture the dynamic computations of the human ventral visual stream Abstract | PDF
2019-03-14 Attribution-driven Causal Analysis for Detection of Adversarial Examples Abstract | PDF
2019-03-13 Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks Abstract | PDF
2019-03-13 Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent Abstract | PDF
2019-03-12 Testing Conditional Independence on Discrete Data using Stochastic Complexity Abstract | PDF
2019-03-11 Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns Abstract | PDF
2019-03-11 Blameworthiness in Multi-Agent Settings Abstract | PDF
2019-03-09 Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes Abstract | PDF
2019-03-08 Based on Graph-VAE Model to Predict Student's Score Abstract | PDF
2019-03-06 A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder Abstract | PDF
2019-03-06 Orthogonal Structure Search for Efficient Causal Discovery from Observational Data Abstract | PDF
2019-03-06 Causal Discovery Toolbox: Uncover causal relationships in Python Abstract | PDF
2019-03-06 Dixit: Interactive Visual Storytelling via Term Manipulation Abstract | PDF
2019-03-05 Size of Interventional Markov Equivalence Classes in Random DAG Models Abstract | PDF
2019-03-05 Lenses and Learners Abstract | PDF
2019-03-05 The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality Abstract | PDF
2019-03-05 Causal Discovery from Heterogeneous/Nonstationary Data Abstract | PDF
2019-03-04 Using Causal Analysis to Learn Specifications from Task Demonstrations Abstract | PDF
2019-03-04 Differentiable Causal Computations via Delayed Trace Abstract | PDF
2019-03-02 FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration Abstract | PDF
2019-03-01 Machine learning in policy evaluation: new tools for causal inference Abstract | PDF
2019-02-28 The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics Abstract | PDF
2019-02-28 Model Agnostic High-Dimensional Error-in-Variable Regression Abstract | PDF
2019-02-27 Machine learning for subgroup discovery under treatment effect Abstract | PDF
2019-02-27 On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives Abstract | PDF
2019-02-26 Transfer Learning for Performance Modeling of Configurable Systems: A Causal Analysis Abstract | PDF
2019-02-26 Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings Abstract | PDF
2019-02-25 Deep Bayesian Multi-Target Learning for Recommender Systems Abstract | PDF
2019-02-24 Text Analysis in Adversarial Settings: Does Deception Leave a Stylistic Trace? Abstract | PDF
2019-02-22 From open learners to open games Abstract | PDF
2019-02-21 Capuchin: Causal Database Repair for Algorithmic Fairness Abstract | PDF
2019-02-21 Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering Abstract | PDF
2019-02-14 Adversarially Approximated Autoencoder for Image Generation and Manipulation Abstract | PDF
2019-02-14 Classifying Treatment Responders Under Causal Effect Monotonicity Abstract | PDF
2019-02-13 Stable-Predictive Optimistic Counterfactual Regret Minimization Abstract | PDF
2019-02-13 Distributionally Robust Multi-instance Learning with Stable Instances Abstract | PDF
2019-02-12 Weighted Tensor Completion for Time-Series Causal Inference Abstract | PDF
2019-02-12 Gaussian Mean Field Regularizes by Limiting Learned Information Abstract | PDF
2019-02-12 Preferences Implicit in the State of the World Abstract | PDF
2019-02-11 Using Embeddings to Correct for Unobserved Confounding Abstract | PDF
2019-02-11 Divergence-Based Motivation for Online EM and Combining Hidden Variable Models Abstract | PDF
2019-02-09 Multi-Domain Translation by Learning Uncoupled Autoencoders Abstract | PDF
2019-02-09 When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks Abstract | PDF
2019-02-08 Source Traces for Temporal Difference Learning Abstract | PDF
2019-02-07 Cost-Effective Incentive Allocation via Structured Counterfactual Inference Abstract | PDF
2019-02-06 Neural Network Attributions: A Causal Perspective Abstract | PDF
2019-02-06 A Guiding Principle for Causal Decision Problems Abstract | PDF
2019-02-05 Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data Abstract | PDF
2019-02-04 Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach Abstract | PDF
2019-02-03 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Abstract | PDF
2019-02-02 High-dimensional semi-supervised learning: in search for optimal inference of the mean Abstract | PDF
2019-02-02 Learning Linear Dynamical Systems with Semi-Parametric Least Squares Abstract | PDF
2019-02-02 Distinction Graphs and Graphtropy: A Formalized Phenomenological Layer Underlying Classical and Quantum Entropy, Observational Semantics and Cognitive Computation Abstract | PDF
2019-02-01 Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders Abstract | PDF
2019-02-01 Causal Simulations for Uplift Modeling Abstract | PDF
2019-02-01 Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network Abstract | PDF
2019-01-31 Learning Triggers for Heterogeneous Treatment Effects Abstract | PDF
2019-01-31 Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures Abstract | PDF
2019-01-30 Natural Analysts in Adaptive Data Analysis Abstract | PDF
2019-01-30 A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Abstract | PDF
2019-01-30 Unsupervised Scalable Representation Learning for Multivariate Time Series Abstract | PDF

2019 / 1 / 28

Date Title Links
2019-01-25 Bayesian surrogate learning in dynamic simulator-based regression problems Abstract | PDF
2019-01-24 Learning Interpretable Models with Causal Guarantees Abstract | PDF
2019-01-24 Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems Abstract | PDF
2019-01-24 Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data Abstract | PDF
2019-01-23 Causal Reasoning from Meta-reinforcement Learning Abstract | PDF
2019-01-22 Single Deep Counterfactual Regret Minimization Abstract | PDF
2019-01-22 Can Transfer Entropy Infer Causality in Neuronal Circuits for Cognitive Processing? Abstract | PDF
2019-01-22 Generation High resolution 3D model from natural language by Generative Adversarial Network Abstract | PDF
2019-01-21 DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets Abstract | PDF
2019-01-21 We Are Not Your Real Parents: Telling Causal from Confounded using MDL Abstract | PDF
2019-01-18 Theory of Minds: Understanding Behavior in Groups Through Inverse Planning Abstract | PDF
2019-01-15 Imitation-Regularized Offline Learning Abstract | PDF
2019-01-14 A Modern Retrospective on Probabilistic Numerics Abstract | PDF
2019-01-11 Non-Parametric Inference Adaptive to Intrinsic Dimension Abstract | PDF
2019-01-11 On Event Causality Detection in Tweets Abstract | PDF
2019-01-10 Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good Models Abstract | PDF
2019-01-09 What do Language Representations Really Represent? Abstract | PDF
2019-01-09 Estimating Buildings' Parameters over Time Including Prior Knowledge Abstract | PDF
2019-01-07 On the effect of the activation function on the distribution of hidden nodes in a deep network Abstract | PDF
2019-01-06 Causality and Bayesian network PDEs for multiscale representations of porous media Abstract | PDF
2019-01-03 A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs Abstract | PDF
2019-01-02 Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias Abstract | PDF
2019-01-02 Efficient Search for Diverse Coherent Explanations Abstract | PDF
2019-01-01 Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology Abstract | PDF
2018-12-31 Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach Abstract | PDF
2018-12-28 Learning to Reconstruct Shapes from Unseen Classes Abstract | PDF
2018-12-27 Tied Hidden Factors in Neural Networks for End-to-End Speaker Recognition Abstract | PDF
2018-12-27 Double Neural Counterfactual Regret Minimization Abstract | PDF

2018 / 12 / 27

Date Title Links
2018-12-25 Dropout Regularization in Hierarchical Mixture of Experts Abstract | PDF
2018-12-25 Goal-based Course Recommendation Abstract | PDF
2018-12-24 Bayesian Causal Inference Abstract | PDF
2018-12-22 Modified Causal Forests for Estimating Heterogeneous Causal Effects Abstract | PDF
2018-12-21 Stochastic Doubly Robust Gradient Abstract | PDF
2018-12-20 Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score Abstract | PDF
2018-12-20 cuPC: CUDA-based Parallel PC Algorithm for Causal Structure Learning on GPU Abstract | PDF
2018-12-19 Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks Abstract | PDF
2018-12-18 Hybrid Loss for Learning Single-Image-based HDR Reconstruction Abstract | PDF
2018-12-15 Balanced Linear Contextual Bandits Abstract | PDF
2018-12-15 Causal Identification under Markov Equivalence Abstract | PDF
2018-12-14 Inferring the size of the causal universe: features and fusion of causal attribution networks Abstract | PDF
2018-12-11 Predictive Learning on Sign-Valued Hidden Markov Trees Abstract | PDF
2018-12-11 Learning Predictive Models That Transport Abstract | PDF
2018-12-10 Abstracting Causal Models Abstract | PDF
2018-12-08 Weighted Risk Minimization & Deep Learning Abstract | PDF
2018-12-08 Counterfactuals uncover the modular structure of deep generative models Abstract | PDF
2018-12-07 seq2graph: Discovering Dynamic Dependencies from Multivariate Time Series with Multi-level Attention Abstract | PDF
2018-12-07 ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Abstract | PDF
2018-12-07 EventNet: Asynchronous recursive event processing Abstract | PDF
2018-12-06 Scene Dynamics: Counterfactual Critic Multi-Agent Training for Scene Graph Generation Abstract | PDF
2018-12-04 Multimodal Explanations by Predicting Counterfactuality in Videos Abstract | PDF
2018-12-03 Generalization in anti-causal learning Abstract | PDF
2018-12-01 Explainable Genetic Inheritance Pattern Prediction Abstract | PDF
2018-12-01 A Probabilistic Model of Cardiac Physiology and Electrocardiograms Abstract | PDF
2018-11-30 Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting Abstract | PDF
2018-11-29 Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models Abstract | PDF
2018-11-29 Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing Abstract | PDF
2018-11-27 Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry Abstract | PDF
2018-11-26 GAN Dissection: Visualizing and Understanding Generative Adversarial Networks Abstract | PDF
2018-11-26 Estimating Causal Effects With Partial Covariates For Clinical Interpretability Abstract | PDF
2018-11-26 Phase-only Image Based Kernel Estimation for Single-image Blind Deblurring Abstract | PDF

2018 / 11 / 26

Date Title Links
2018-11-23 Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks Abstract | PDF
2018-11-21 Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning Abstract | PDF
2018-11-21 Distinguishing correlation from causation using genome-wide association studies Abstract | PDF
2018-11-20 On a hypergraph probabilistic graphical model Abstract | PDF
2018-11-20 Causal Inference by String Diagram Surgery Abstract | PDF
2018-11-17 Recurrence to the Rescue: Towards Causal Spatiotemporal Representations Abstract | PDF
2018-11-17 Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach Abstract | PDF
2018-11-16 Machine Decisions and Human Consequences Abstract | PDF
2018-11-15 HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty Abstract | PDF
2018-11-15 Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Abstract | PDF
2018-11-15 Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation Abstract | PDF
2018-11-14 Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions Abstract | PDF
2018-11-13 Interpretable Credit Application Predictions With Counterfactual Explanations Abstract | PDF
2018-11-12 When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation Abstract | PDF
2018-11-11 Unifying Gaussian LWF and AMP Chain Graphs to Model Interference Abstract | PDF
2018-11-11 Explaining Deep Learning Models using Causal Inference Abstract | PDF
2018-11-08 Information Flow in Pregroup Models of Natural Language Abstract | PDF
2018-11-07 Contrastive Explanation: A Structural-Model Approach Abstract | PDF
2018-11-07 Policy Certificates: Towards Accountable Reinforcement Learning Abstract | PDF
2018-11-06 CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning Abstract | PDF
2018-11-06 Multi-channel discourse as an indicator for Bitcoin price and volume movements Abstract | PDF
2018-11-06 Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning Abstract | PDF
2018-11-05 ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion Abstract | PDF
2018-11-01 Modeling Attention Flow on Graphs Abstract | PDF
2018-11-01 Horizon: Facebook's Open Source Applied Reinforcement Learning Platform Abstract | PDF
2018-11-01 Deep Counterfactual Regret Minimization Abstract | PDF
2018-10-31 Interventional Robustness of Deep Latent Variable Models Abstract | PDF
2018-10-31 On Fast Leverage Score Sampling and Optimal Learning Abstract | PDF
2018-10-30 Discovering state-parameter mappings in subsurface models using generative adversarial networks Abstract | PDF
2018-10-30 Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding Abstract | PDF
2018-10-29 Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality Abstract | PDF
2018-10-28 Experimental Design for Cost-Aware Learning of Causal Graphs Abstract | PDF
2018-10-28 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction Abstract | PDF
2018-10-28 Identifying Causal Structure in Large-Scale Kinetic Systems Abstract | PDF
2018-10-27 Removing Hidden Confounding by Experimental Grounding Abstract | PDF
2018-10-26 Finding dissimilar explanations in Bayesian networks: Complexity results Abstract | PDF
2018-10-26 Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization Abstract | PDF

2018 / 10 / 24

Date Title Links
2018-10-23 Meta-Learning Multi-task Communication Abstract | PDF
2018-10-22 Properties of an N Time-Slice Dynamic Chain Event Graph Abstract | PDF
2018-10-21 Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing Abstract | PDF
2018-10-19 Intrinsic Social Motivation via Causal Influence in Multi-Agent RL Abstract | PDF
2018-10-18 An Upper Bound for Random Measurement Error in Causal Discovery Abstract | PDF
2018-10-17 Adversarial Balancing for Causal Inference Abstract | PDF
2018-10-16 Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences Abstract | PDF
2018-10-16 Hunting for Discriminatory Proxies in Linear Regression Models Abstract | PDF
2018-10-14 Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information Abstract | PDF
2018-10-13 Towards Formal Definitions of Blameworthiness, Intention, and Moral Responsibility Abstract | PDF
2018-10-13 Point Cloud GAN Abstract | PDF
2018-10-10 Deep Recurrent Level Set for Segmenting Brain Tumors Abstract | PDF
2018-10-10 Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information Abstract | PDF

2018 / 10 / 10

Date Title Links
2018-10-08 Optimizing Waiting Thresholds Within A State Machine Abstract | PDF
2018-10-07 Solving Large Sequential Games with the Excessive Gap Technique Abstract | PDF
2018-10-05 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Abstract | PDF
2018-10-05 High-Dimensional Poisson DAG Model Learning Using $\ell_1$-Regularized Regression Abstract | PDF
2018-10-02 Contextual Multi-Armed Bandits for Causal Marketing Abstract | PDF
2018-10-01 Challenges of Using Text Classifiers for Causal Inference Abstract | PDF
2018-10-01 Counterfactually Fair Prediction Using Multiple Causal Models Abstract | PDF
2018-10-01 Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Abstract | PDF
2018-09-30 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction From a Single Image Abstract | PDF
2018-09-28 HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting Abstract | PDF
2018-09-27 Estimation of Personalized Effects Associated With Causal Pathways Abstract | PDF
2018-09-27 Controllable Neural Story Generation via Reinforcement Learning Abstract | PDF
2018-09-27 Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models Abstract | PDF
2018-09-27 Counterfactual Fairness in Text Classification through Robustness Abstract | PDF
2018-09-26 Deep Neural Networks for Estimation and Inference: Application to Causal Effects and Other Semiparametric Estimands Abstract | PDF

2018 / 9 / 26

Date Title Links
2018-09-25 A Survey of Learning Causality with Data: Problems and Methods Abstract | PDF
2018-09-25 Early Identification of Pathogenic Social Media Accounts Abstract | PDF
2018-09-24 Evaluating Fairness Metrics in the Presence of Dataset Bias Abstract | PDF
2018-09-23 Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models Abstract | PDF
2018-09-23 A Kernel Embedding-based Approach for Nonstationary Causal Model Inference Abstract | PDF
2018-09-21 Answering the "why" in Answer Set Programming - A Survey of Explanation Approaches Abstract | PDF
2018-09-20 Solving Large Extensive-Form Games with Strategy Constraints Abstract | PDF
2018-09-18 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks Abstract | PDF
2018-09-18 Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks Abstract | PDF
2018-09-16 Short-term Cognitive Networks, Flexible Reasoning and Nonsynaptic Learning Abstract | PDF
2018-09-13 Bayesian Structure Learning by Recursive Bootstrap Abstract | PDF
2018-09-11 Solving Imperfect-Information Games via Discounted Regret Minimization Abstract | PDF
2018-09-10 Efficient Counterfactual Learning from Bandit Feedback Abstract | PDF
2018-09-10 Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games Abstract | PDF
2018-09-09 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Abstract | PDF
2018-09-08 Faithful Multimodal Explanation for Visual Question Answering Abstract | PDF
2018-09-07 Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data Abstract | PDF
2018-09-07 A Primer on Causality in Data Science Abstract | PDF
2018-09-06 Learning Optimal Fair Policies Abstract | PDF
2018-09-04 Causal Explanation Analysis on Social Media Abstract | PDF
2018-08-30 Uniform Inference in High-Dimensional Gaussian Graphical Models Abstract | PDF
2018-08-29 PanoRoom: From the Sphere to the 3D Layout Abstract | PDF
2018-08-26 FinBrain: When Finance Meets AI 2.0 Abstract | PDF
2018-08-25 DNN: A Two-Scale Distributional Tale of Heterogeneous Treatment Effect Inference Abstract | PDF
2018-08-24 Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information Abstract | PDF
2018-08-23 Transfer Learning for Estimating Causal Effects using Neural Networks Abstract | PDF
2018-08-22 Robust Counterfactual Inferences using Feature Learning and their Applications Abstract | PDF
2018-08-22 Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace Abstract | PDF
2018-08-21 Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing Abstract | PDF
2018-08-20 The Deconfounded Recommender: A Causal Inference Approach to Recommendation Abstract | PDF
2018-08-20 Causal Discovery by Telling Apart Parents and Children Abstract | PDF
2018-08-20 Discovering Context Specific Causal Relationships Abstract | PDF
2018-08-18 Effect of secular trend in drug effectiveness study in real world data Abstract | PDF
2018-08-16 SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference Abstract | PDF
2018-08-15 Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption Abstract | PDF
2018-08-13 Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms Abstract | PDF
2018-08-09 Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects Abstract | PDF
2018-08-09 Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms Abstract | PDF
2018-08-06 Probabilistic Causal Analysis of Social Influence Abstract | PDF

2018 / 8 / 3

Date Title Links
2018-07-31 Gender Bias in Neural Natural Language Processing Abstract | PDF
2018-07-30 Causal Modeling with Probabilistic Simulation Models Abstract | PDF
2018-07-26 Entropic Latent Variable Discovery Abstract | PDF
2018-07-26 Differential Analysis of Directed Networks Abstract | PDF
2018-07-25 Grounding Visual Explanations Abstract | PDF
2018-07-24 Learning Plannable Representations with Causal InfoGAN Abstract | PDF
2018-07-22 Learning Deep Hidden Nonlinear Dynamics from Aggregate Data Abstract | PDF
2018-07-20 Boosting algorithms for uplift modeling Abstract | PDF
2018-07-20 Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features Abstract | PDF
2018-07-20 Learning the effect of latent variables in Gaussian Graphical models with unobserved variables Abstract | PDF
2018-07-18 Video Time: Properties, Encoders and Evaluation Abstract | PDF
2018-07-18 Machine Learning Interpretability: A Science rather than a tool Abstract | PDF
2018-07-17 Knockoffs for the mass: new feature importance statistics with false discovery guarantees Abstract | PDF
2018-07-14 Specular-to-Diffuse Translation for Multi-View Reconstruction Abstract | PDF
2018-07-13 Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception Abstract | PDF
2018-07-12 Fast Estimation of Causal Interactions using Wold Processes Abstract | PDF
2018-07-11 Causal discovery in the presence of missing data Abstract | PDF
2018-07-10 Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption Abstract | PDF
2018-07-10 Algebraic Equivalence of Linear Structural Equation Models Abstract | PDF
2018-07-09 Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders Abstract | PDF
2018-07-09 A Sequence-to-Sequence Model for Semantic Role Labeling Abstract | PDF
2018-07-09 Supervised Local Modeling for Interpretability Abstract | PDF
2018-07-06 Causal Deep Information Bottleneck Abstract | PDF
2018-07-06 Sum-Product Networks for Sequence Labeling Abstract | PDF
2018-07-05 Representing scenarios for process evolution management Abstract | PDF
2018-07-03 Playing against Nature: causal discovery for decision making under uncertainty Abstract | PDF
2018-07-02 Analysis and Optimization of Deep CounterfactualValue Networks Abstract | PDF
2018-06-30 Mammography Assessment using Multi-Scale Deep Classifiers Abstract | PDF
2018-06-29 Bayesian Counterfactual Risk Minimization Abstract | PDF
2018-06-26 Deep $k$-Means: Jointly Clustering with $k$-Means and Learning Representations Abstract | PDF
2018-06-26 A Constraint-based Encoding for Domain-Independent Temporal Planning Abstract | PDF
2018-06-26 Open the Black Box Data-Driven Explanation of Black Box Decision Systems Abstract | PDF
2018-06-26 Generating Counterfactual Explanations with Natural Language Abstract | PDF
2018-06-26 Causal Inference for Early Detection of Pathogenic Social Media Accounts Abstract | PDF
2018-06-25 A Proof of the Front-Door Adjustment Formula Abstract | PDF
2018-06-25 An Outcome Model Approach to Translating a Randomized Controlled Trial Results to a Target Population Abstract | PDF
2018-06-22 Learning Traffic Flow Dynamics using Random Fields Abstract | PDF
2018-06-22 Visual-Inertial Object Detection and Mapping Abstract | PDF
2018-06-22 Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization Abstract | PDF
2018-06-21 Identifiability of Gaussian Structural Equation Models with Dependent Errors Having Equal Variances Abstract | PDF

2018 / 6 / 21

Date Title Links
2018-06-20 Doubly Nested Network for Resource-Efficient Inference Abstract | PDF
2018-06-20 Towards Robust Interpretability with Self-Explaining Neural Networks Abstract | PDF
2018-06-19 Surrogate Outcomes and Transportability Abstract | PDF
2018-06-19 Enhancing Identification of Causal Effects by Pruning Abstract | PDF
2018-06-19 Simplifying Probabilistic Expressions in Causal Inference Abstract | PDF
2018-06-19 Restricted Boltzmann Machines: Introduction and Review Abstract | PDF
2018-06-18 Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference Abstract | PDF
2018-06-18 Flexible Collaborative Estimation of the Average Causal Effect of a Treatment using the Outcome-Highly-Adaptive Lasso Abstract | PDF
2018-06-17 Multi-variable LSTM neural network for autoregressive exogenous model Abstract | PDF
2018-06-16 Stable Prediction across Unknown Environments Abstract | PDF
2018-06-16 The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks Abstract | PDF
2018-06-13 Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models Abstract | PDF
2018-06-11 Massively Parallel Video Networks Abstract | PDF
2018-06-09 Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank Abstract | PDF
2018-06-09 Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation Abstract | PDF
2018-06-08 Pricing Engine: Estimating Causal Impacts in Real World Business Settings Abstract | PDF
2018-06-08 Causal effects based on distributional distances Abstract | PDF
2018-06-07 Unbiased Estimation of the Value of an Optimized Policy Abstract | PDF
2018-06-06 Causal Interventions for Fairness Abstract | PDF
2018-06-06 Causal Bandits with Propagating Inference Abstract | PDF
2018-06-05 MRPC: An R package for accurate inference of causal graphs Abstract | PDF
2018-06-05 A Primer on Causal Analysis Abstract | PDF
2018-06-04 groupICA: Independent component analysis for grouped data Abstract | PDF
2018-06-04 Optimal Balancing of Time-Dependent Confounders for Marginal Structural Models Abstract | PDF
2018-06-03 Structural Learning of Multivariate Regression Chain Graphs via Decomposition Abstract | PDF
2018-06-03 Causal Inference with Noisy and Missing Covariates via Matrix Factorization Abstract | PDF
2018-05-31 Learning Tree Distributions by Hidden Markov Models Abstract | PDF
2018-05-31 Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems Abstract | PDF
2018-05-30 Too Fast Causal Inference under Causal Insufficiency Abstract | PDF
2018-05-28 Local Rule-Based Explanations of Black Box Decision Systems Abstract | PDF
2018-05-24 Structure Learning from Time Series with False Discovery Control Abstract | PDF
2018-05-24 Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation Abstract | PDF
2018-05-24 Inverse POMDP: Inferring What You Think from What You Do Abstract | PDF
2018-05-24 Learning and Testing Causal Models with Interventions Abstract | PDF
2018-05-24 A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data Abstract | PDF
2018-05-24 Stable specification search in structural equation model with latent variables Abstract | PDF
2018-05-23 On self-play computation of equilibrium in poker Abstract | PDF
2018-05-23 Representation Balancing MDPs for Off-Policy Policy Evaluation Abstract | PDF
2018-05-22 Multi-task Maximum Entropy Inverse Reinforcement Learning Abstract | PDF
2018-05-22 Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference Abstract | PDF
2018-05-22 Confounding-Robust Policy Improvement Abstract | PDF
2018-05-22 Maximum Causal Tsallis Entropy Imitation Learning Abstract | PDF
2018-05-21 Multiple Causal Inference with Latent Confounding Abstract | PDF
2018-05-21 Super learning in the SAS system Abstract | PDF
2018-05-21 Imitating Latent Policies from Observation Abstract | PDF
2018-05-21 A Framework and Method for Online Inverse Reinforcement Learning Abstract | PDF
2018-05-20 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications Abstract | PDF
2018-05-20 Stacked Propensity Score Functions for Observational Cohorts with Oversampled Exposed Subjects Abstract | PDF
2018-05-17 Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension Abstract | PDF
2018-05-17 The Blessings of Multiple Causes Abstract | PDF
2018-05-16 Generalized Strucutral Causal Models Abstract | PDF
2018-05-16 Regularization Learning Networks Abstract | PDF
2018-05-16 Semi-Blind Inference of Topologies and Dynamical Processes over Graphs Abstract | PDF
2018-05-15 Causal Reasoning for Algorithmic Fairness Abstract | PDF
2018-05-14 Faithfully Explaining Rankings in a News Recommender System Abstract | PDF
2018-05-14 Unsupervised Intuitive Physics from Visual Observations Abstract | PDF

2018 / 5 / 12

Date Title Links
2018-05-08 On the Conditional Logic of Simulation Models Abstract | PDF
2018-05-05 A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias Abstract | PDF
2018-05-05 Learning Selfie-Friendly Abstraction from Artistic Style Images Abstract | PDF
2018-05-04 Causal programming: inference with structural causal models as finding instances of a relation Abstract | PDF
2018-05-04 Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks Abstract | PDF
2018-05-03 Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback Abstract | PDF
2018-05-02 Convolutional Sequence to Sequence Model for Human Dynamics Abstract | PDF
2018-04-30 Counterfactual Learning-to-Rank for Additive Metrics and Deep Models Abstract | PDF
2018-04-28 Data science is science's second chance to get causal inference right: A classification of data science tasks Abstract | PDF
2018-04-24 Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoders for Efficient Data Representations Abstract | PDF
2018-04-24 Mask-aware Photorealistic Face Attribute Manipulation Abstract | PDF
2018-04-18 Forecasting the presence and intensity of hostility on Instagram using linguistic and social features Abstract | PDF
2018-04-17 PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning Abstract | PDF
2018-04-16 Im2Struct: Recovering 3D Shape Structure from a Single RGB Image Abstract | PDF
2018-04-15 The EcoLexicon Semantic Sketch Grammar: from Knowledge Patterns to Word Sketches Abstract | PDF
2018-04-14 An interpretable LSTM neural network for autoregressive exogenous model Abstract | PDF
2018-04-14 General-purpose validation and model selection when estimating individual treatment effects Abstract | PDF
2018-04-12 Causal Inference via Kernel Deviance Measures Abstract | PDF
2018-04-12 Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI Abstract | PDF
2018-04-12 Causal Generative Domain Adaptation Networks Abstract | PDF
2018-04-11 AFA-PredNet: The action modulation within predictive coding Abstract | PDF
2018-04-11 Reference-less Measure of Faithfulness for Grammatical Error Correction Abstract | PDF
2018-04-10 Personalization of Health Interventions using Cluster-Based Reinforcement Learning Abstract | PDF
2018-04-10 A Mathematical Framework for Superintelligent Machines Abstract | PDF
2018-04-09 Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform Abstract | PDF
2018-04-08 Expressway visibility estimation based on image entropy and piecewise stationary time series analysis Abstract | PDF
2018-04-04 Stochastic Adversarial Video Prediction Abstract | PDF
2018-03-31 Collaborative targeted inference from continuously indexed nuisance parameter estimators Abstract | PDF
2018-03-30 Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems Abstract | PDF
2018-03-29 Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond Abstract | PDF
2018-03-28 Supervising Feature Influence Abstract | PDF
2018-03-28 Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting Abstract | PDF
2018-03-24 Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection Abstract | PDF
2018-03-23 From Random Differential Equations to Structural Causal Models: the stochastic case Abstract | PDF
2018-03-21 Efficient Structure Learning and Sampling of Bayesian Networks Abstract | PDF
2018-03-21 Causal Inference on Discrete Data via Estimating Distance Correlations Abstract | PDF
2018-03-19 Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation Abstract | PDF
2018-03-19 Adversarial Generalized Method of Moments Abstract | PDF
2018-03-19 Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures Abstract | PDF
2018-03-17 Offloading over Time-Varying Channels in Wireless Powered Networks Abstract | PDF
2018-03-16 Coordination via predictive assistants from a game-theoretic view Abstract | PDF
2018-03-15 Learned Iterative Decoding for Lossy Image Compression Systems Abstract | PDF
2018-03-15 Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models Abstract | PDF

2018 / 3 / 15

Date Title Links
2018-03-13 SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning Abstract | PDF
2018-03-11 Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models Abstract | PDF
2018-03-10 ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting Abstract | PDF
2018-03-10 A Minimax Surrogate Loss Approach to Conditional Difference Estimation Abstract | PDF
2018-03-05 On Discrimination Discovery and Removal in Ranked Data using Causal Graph Abstract | PDF
2018-03-02 Detecting non-causal artifacts in multivariate linear regression models Abstract | PDF
2018-03-01 Deep Learning for Causal Inference Abstract | PDF
2018-02-28 Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework Abstract | PDF
2018-02-28 Computational Theories of Curiosity-Driven Learning Abstract | PDF
2018-02-28 Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Abstract | PDF
2018-02-26 Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model Abstract | PDF
2018-02-26 Disentangling the independently controllable factors of variation by interacting with the world Abstract | PDF
2018-02-25 A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection Abstract | PDF
2018-02-23 Is Generator Conditioning Causally Related to GAN Performance? Abstract | PDF
2018-02-23 Learning Optimal Policies from Observational Data Abstract | PDF
2018-02-23 Double/De-Biased Machine Learning Using Regularized Riesz Representers Abstract | PDF
2018-02-23 Learning Weighted Representations for Generalization Across Designs Abstract | PDF
2018-02-23 Faithful Semantical Embedding of a Dyadic Deontic Logic in HOL Abstract | PDF
2018-02-22 Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus Abstract | PDF
2018-02-22 Learning Causally-Generated Stationary Time Series Abstract | PDF
2018-02-22 Path-Specific Counterfactual Fairness Abstract | PDF
2018-02-20 How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like Abstract | PDF
2018-02-19 Analysis of Cause-Effect Inference via Regression Errors Abstract | PDF
2018-02-19 Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration Abstract | PDF
2018-02-19 Heron Inference for Bayesian Graphical Models Abstract | PDF
2018-02-18 Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism Abstract | PDF

2018 / 2 / 17

Date Title Links
2018-02-15 DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Abstract | PDF
2018-02-15 Reducing over-clustering via the powered Chinese restaurant process Abstract | PDF
2018-02-14 Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis Abstract | PDF
2018-02-14 Prophit: Causal inverse classification for multiple continuously valued treatment policies Abstract | PDF
2018-02-06 Granger-causal Attentive Mixtures of Experts Abstract | PDF
2018-02-06 How to Make Causal Inferences Using Texts Abstract | PDF
2018-02-02 Interpretable Deep Convolutional Neural Networks via Meta-learning Abstract | PDF
2018-02-02 Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations Abstract | PDF
2018-01-31 Nonparametric Quantile-Based Causal Discovery Abstract | PDF
2018-01-25 Discovering Markov Blanket from Multiple interventional Datasets Abstract | PDF
2018-01-22 Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data Abstract | PDF
2018-01-22 Offline A/B testing for Recommender Systems Abstract | PDF
2018-01-16 The Role of Conditional Independence in the Evolution of Intelligent Systems Abstract | PDF
2018-01-16 Reblur2Deblur: Deblurring Videos via Self-Supervised Learning Abstract | PDF
2018-01-12 Bayesian Quadrature for Multiple Related Integrals Abstract | PDF
2018-01-11 Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution Abstract | PDF
2018-01-11 Counterfactual equivalence for POMDPs, and underlying deterministic environments Abstract | PDF
2018-01-10 Reasoning about Unforeseen Possibilities During Policy Learning Abstract | PDF
2018-01-09 A Formalization of Kant's Second Formulation of the Categorical Imperative Abstract | PDF
2018-01-02 Accounting for hidden common causes when inferring cause and effect from observational data Abstract | PDF
2018-01-01 Local Causal States and Discrete Coherent Structures Abstract | PDF

2017 / 12 / 31

Date Title Links
2017-12-28 Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels Abstract | PDF
2017-12-28 PixelSNAIL: An Improved Autoregressive Generative Model Abstract | PDF
2017-12-24 Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Abstract | PDF
2017-12-22 Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration Abstract | PDF
2017-12-21 Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment Abstract | PDF
2017-12-21 Robust Detection of Covariate-Treatment Interactions in Clinical Trials Abstract | PDF
2017-12-21 Truncated Variational Sampling for "Black Box" Optimization of Generative Models Abstract | PDF
2017-12-13 Learning Objectives for Treatment Effect Estimation Abstract | PDF
2017-12-13 Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments Abstract | PDF
2017-12-12 Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis Abstract | PDF
2017-12-12 Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks Abstract | PDF
2017-12-10 Causal Inference for Observational Time-Series with Encoder-Decoder Networks Abstract | PDF
2017-12-08 Crime prediction through urban metrics and statistical learning Abstract | PDF
2017-12-07 A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations Abstract | PDF
2017-12-06 Learning General Latent-Variable Graphical Models with Predictive Belief Propagation and Hilbert Space Embeddings Abstract | PDF
2017-12-05 Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human--like learning Abstract | PDF
2017-12-04 Inferring agent objectives at different scales of a complex adaptive system Abstract | PDF
2017-12-04 Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation Abstract | PDF
2017-12-04 Learning Independent Causal Mechanisms Abstract | PDF
2017-12-03 Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems Abstract | PDF
2017-12-01 Prediction-Constrained Topic Models for Antidepressant Recommendation Abstract | PDF
2017-12-01 Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference Abstract | PDF
2017-11-30 Radially-Distorted Conjugate Translations Abstract | PDF
2017-11-29 Causality Refined Diagnostic Prediction Abstract | PDF
2017-11-28 A reinforcement learning algorithm for building collaboration in multi-agent systems Abstract | PDF
2017-11-28 CAR-Net: Clairvoyant Attentive Recurrent Network Abstract | PDF
2017-11-26 Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary Abstract | PDF
2017-11-24 Causal Generative Neural Networks Abstract | PDF
2017-11-23 Identification of Strong Edges in AMP Chain Graphs Abstract | PDF
2017-11-23 Counterfactual Learning for Machine Translation: Degeneracies and Solutions Abstract | PDF
2017-11-22 Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition Abstract | PDF
2017-11-22 Causal nearest neighbor rules for optimal treatment regimes Abstract | PDF
2017-11-22 An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery Abstract | PDF
2017-11-21 Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding Abstract | PDF
2017-11-20 Better Agnostic Clustering Via Relaxed Tensor Norms Abstract | PDF
2017-11-19 Estimation Considerations in Contextual Bandits Abstract | PDF
2017-11-18 Robust Synthetic Control Abstract | PDF
2017-11-16 Using Noisy Extractions to Discover Causal Knowledge Abstract | PDF
2017-11-15 Good and safe uses of AI Oracles Abstract | PDF
2017-11-14 Simulating Action Dynamics with Neural Process Networks Abstract | PDF
2017-11-14 False Positive and Cross-relation Signals in Distant Supervision Data Abstract | PDF
2017-11-14 The Multi-layer Information Bottleneck Problem Abstract | PDF
2017-11-14 Unified Pragmatic Models for Generating and Following Instructions Abstract | PDF
2017-11-13 Faithful to the Original: Fact Aware Neural Abstractive Summarization Abstract | PDF
2017-11-11 A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction Abstract | PDF
2017-11-10 Document Context Neural Machine Translation with Memory Networks Abstract | PDF
2017-11-09 Exploiting ConvNet Diversity for Flooding Identification Abstract | PDF
2017-11-09 SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements Abstract | PDF
2017-11-09 Regret Minimization in Behaviorally-Constrained Zero-Sum Games Abstract | PDF
2017-11-03 Partial correlation graphs and the neighborhood lattice Abstract | PDF
2017-11-02 A Universal Marginalizer for Amortized Inference in Generative Models Abstract | PDF
2017-11-01 TasNet: time-domain audio separation network for real-time, single-channel speech separation Abstract | PDF
2017-11-01 Beautiful and damned. Combined effect of content quality and social ties on user engagement Abstract | PDF
2017-11-01 Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Abstract | PDF
2017-11-01 Orthogonal Machine Learning: Power and Limitations Abstract | PDF
2017-10-31 Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset Abstract | PDF
2017-10-31 Grouping-By-ID: Guarding Against Adversarial Domain Shifts Abstract | PDF
2017-10-31 Regret Minimization for Partially Observable Deep Reinforcement Learning Abstract | PDF
2017-10-30 An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition Abstract | PDF
2017-10-30 Implicit Causal Models for Genome-wide Association Studies Abstract | PDF
2017-10-25 Sufficient and necessary causation are dual Abstract | PDF
2017-10-24 Markov Properties for Graphical Models with Cycles and Latent Variables Abstract | PDF
2017-10-19 Reti bayesiane per lo studio del fenomeno degli incidenti stradali tra i giovani in Toscana Abstract | PDF
2017-10-19 SLING: A framework for frame semantic parsing Abstract | PDF
2017-10-16 Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect Abstract | PDF
2017-10-13 Functional Decision Theory: A New Theory of Instrumental Rationality Abstract | PDF
2017-10-13 Potential Conditional Mutual Information: Estimators, Properties and Applications Abstract | PDF
2017-10-13 Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields Abstract | PDF
2017-10-13 Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions Abstract | PDF
2017-10-11 Counterfactual Conditionals in Quantified Modal Logic Abstract | PDF
2017-10-10 Inference on Auctions with Weak Assumptions on Information Abstract | PDF
2017-10-10 ACCBench: A Framework for Comparing Causality Algorithms Abstract | PDF
2017-10-10 Prior Knowledge based mutation prioritization towards causal variant finding in rare disease Abstract | PDF
2017-10-10 Counterfactual Causality from First Principles? Abstract | PDF
2017-10-10 Causality and Temporal Dependencies in the Design of Fault Management Systems Abstract | PDF
2017-10-10 On Preemption and Overdetermination in Formal Theories of Causality Abstract | PDF
2017-10-09 Massive Open Online Courses Temporal Profiling for Dropout Prediction Abstract | PDF
2017-10-04 Counterfactual Language Model Adaptation for Suggesting Phrases Abstract | PDF
2017-10-03 Simulating Structure-from-Motion Abstract | PDF
2017-10-02 Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks Abstract | PDF
2017-09-26 Telling Cause from Effect using MDL-based Local and Global Regression Abstract | PDF
2017-09-19 Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning Abstract | PDF
2017-09-19 Estimating Mutual Information for Discrete-Continuous Mixtures Abstract | PDF
2017-09-16 A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions Abstract | PDF
2017-09-15 Embedding Deep Networks into Visual Explanations Abstract | PDF
2017-09-15 Granger Mediation Analysis of Multiple Time Series with an Application to fMRI Abstract | PDF
2017-09-15 Learning Functional Causal Models with Generative Neural Networks Abstract | PDF
2017-09-14 Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials Abstract | PDF
2017-09-13 A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables Abstract | PDF
2017-09-13 On labeling Android malware signatures using minhashing and further classification with Structural Equation Models Abstract | PDF
2017-09-11 Budgeted Experiment Design for Causal Structure Learning Abstract | PDF
2017-09-11 Fairness Testing: Testing Software for Discrimination Abstract | PDF
2017-09-09 Steering Output Style and Topic in Neural Response Generation Abstract | PDF
2017-09-08 Causality-Aided Falsification Abstract | PDF
2017-09-07 Deep Learning the Physics of Transport Phenomena Abstract | PDF
2017-09-07 Learning from lions: inferring the utility of agents from their trajectories Abstract | PDF
2017-09-06 CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Abstract | PDF
2017-09-05 Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information Abstract | PDF
2017-09-03 Estimation of interventional effects of features on prediction Abstract | PDF
2017-09-03 Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks Abstract | PDF
2017-08-30 Unsupervised Induction of Contingent Event Pairs from Film Scenes Abstract | PDF
2017-08-30 Inferring Narrative Causality between Event Pairs in Films Abstract | PDF
2017-08-30 Inference of Fine-Grained Event Causality from Blogs and Films Abstract | PDF
2017-08-30 Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events Abstract | PDF
2017-08-23 Massively-Parallel Feature Selection for Big Data Abstract | PDF
2017-08-22 What caused what? An irreducible account of actual causation Abstract | PDF
2017-08-22 Learning Combinations of Sigmoids Through Gradient Estimation Abstract | PDF
2017-08-22 On Image Classification: Correlation v.s. Causality Abstract | PDF
2017-08-20 Perceptual audio loss function for deep learning Abstract | PDF
2017-08-18 Comparative Benchmarking of Causal Discovery Techniques Abstract | PDF
2017-08-16 Maximum A Posteriori Inference in Sum-Product Networks Abstract | PDF
2017-08-13 Mahalanonbis Distance Informed by Clustering Abstract | PDF
2017-08-11 Learning from Noisy Label Distributions Abstract | PDF
2017-08-09 Interacting with Acoustic Simulation and Fabrication Abstract | PDF
2017-08-08 Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis Abstract | PDF
2017-08-08 A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence Abstract | PDF
2017-08-07 Why adaptively collected data have negative bias and how to correct for it Abstract | PDF
2017-08-05 A causation coefficient and taxonomy of correlation/causation relationships Abstract | PDF
2017-08-03 Independently Controllable Factors Abstract | PDF
2017-08-02 Latent tree models Abstract | PDF
2017-07-31 Interpretable Active Learning Abstract | PDF
2017-07-31 Cost and Actual Causation Abstract | PDF
2017-07-28 Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation Abstract | PDF
2017-07-27 Detecting and Explaining Causes From Text For a Time Series Event Abstract | PDF
2017-07-26 Making the best of data derived from a daily practice in clinical legal medicine for research and practice - the example of Spe3dLab Abstract | PDF
2017-07-26 Using Program Induction to Interpret Transition System Dynamics Abstract | PDF
2017-07-23 Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models Abstract | PDF
2017-07-20 The inflation technique solves completely the classical inference problem Abstract | PDF
2017-07-20 Causal Transfer Learning Abstract | PDF
2017-07-20 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks Abstract | PDF
2017-07-19 Computing LPMLN Using ASP and MLN Solvers Abstract | PDF
2017-07-19 FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference Abstract | PDF
2017-07-19 From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models Abstract | PDF
2017-07-18 On Adaptive Propensity Score Truncation in Causal Inference Abstract | PDF
2017-07-17 Trial without Error: Towards Safe Reinforcement Learning via Human Intervention Abstract | PDF
2017-07-15 Learning linear structural equation models in polynomial time and sample complexity Abstract | PDF
2017-07-13 Predicting Abandonment in Online Coding Tutorials Abstract | PDF
2017-07-13 Fast Restricted Causal Inference Abstract | PDF
2017-07-11 Learning like humans with Deep Symbolic Networks Abstract | PDF
2017-07-11 CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis Abstract | PDF
2017-07-09 Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Abstract | PDF
2017-07-06 A causal framework for explaining the predictions of black-box sequence-to-sequence models Abstract | PDF
2017-07-05 Machine Learning Tests for Effects on Multiple Outcomes Abstract | PDF
2017-07-05 SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee Abstract | PDF
2017-07-04 Causal Consistency of Structural Equation Models Abstract | PDF
2017-07-01 Some methods for heterogeneous treatment effect estimation in high-dimensions Abstract | PDF
2017-06-30 Probabilistic Active Learning of Functions in Structural Causal Models Abstract | PDF
2017-06-30 Restricted Causal Inference Algorithm Abstract | PDF
2017-06-30 Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data Abstract | PDF
2017-06-26 On conditional parity as a notion of non-discrimination in machine learning Abstract | PDF
2017-06-19 Optimising the topological information of the $A_\infty$-persistence groups Abstract | PDF
2017-06-19 Deep Counterfactual Networks with Propensity-Dropout Abstract | PDF
2017-06-16 An online sequence-to-sequence model for noisy speech recognition Abstract | PDF
2017-06-15 Extracting Formal Models from Normative Texts Abstract | PDF
2017-06-14 Bias and high-dimensional adjustment in observational studies of peer effects Abstract | PDF
2017-06-14 Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Abstract | PDF
2017-06-10 Causal Discovery in the Presence of Measurement Error: Identifiability Conditions Abstract | PDF
2017-06-09 TextureGAN: Controlling Deep Image Synthesis with Texture Patches Abstract | PDF
2017-06-08 A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform Abstract | PDF
2017-06-08 Avoiding Discrimination through Causal Reasoning Abstract | PDF
2017-06-07 Network Sketching: Exploiting Binary Structure in Deep CNNs Abstract | PDF
2017-06-06 A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences Abstract | PDF
2017-06-02 Learning causal Bayes networks using interventional path queries in polynomial time and sample complexity Abstract | PDF
2017-05-30 A Tale of Two Animats: What does it take to have goals? Abstract | PDF
2017-05-30 Strength Factors: An Uncertainty System for a Quantified Modal Logic Abstract | PDF
2017-05-29 Fair Inference On Outcomes Abstract | PDF
2017-05-29 Learning Belief Network Structure From Data under Causal Insufficiency Abstract | PDF
2017-05-27 Targeted Learning with Daily EHR Data Abstract | PDF
2017-05-27 Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading Abstract | PDF
2017-05-26 Learning Causal Structures Using Regression Invariance Abstract | PDF
2017-05-25 Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion Abstract | PDF
2017-05-24 Cultural Diffusion and Trends in Facebook Photographs Abstract | PDF
2017-05-24 Counterfactual Multi-Agent Policy Gradients Abstract | PDF
2017-05-24 Causal Effect Inference with Deep Latent-Variable Models Abstract | PDF
2017-05-23 Explaining Transition Systems through Program Induction Abstract | PDF
2017-05-22 Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs Abstract | PDF
2017-05-21 Instrument-Armed Bandits Abstract | PDF
2017-05-20 Bayesian Belief Updating of Spatiotemporal Seizure Dynamics Abstract | PDF
2017-05-19 RankPL: A Qualitative Probabilistic Programming Language Abstract | PDF
2017-05-19 Model-Robust Counterfactual Prediction Method Abstract | PDF
2017-05-19 Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm Abstract | PDF
2017-05-16 GP CaKe: Effective brain connectivity with causal kernels Abstract | PDF
2017-05-16 New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning - Abstract | PDF
2017-05-15 Constrained Bayesian Networks: Theory, Optimization, and Applications Abstract | PDF
2017-05-11 Reducing Bias in Production Speech Models Abstract | PDF
2017-05-05 Group invariance principles for causal generative models Abstract | PDF
2017-05-02 Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California Abstract | PDF
2017-04-28 Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS) Abstract | PDF
2017-04-26 Identifying Similarities in Epileptic Patients for Drug Resistance Prediction Abstract | PDF
2017-04-24 Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets Abstract | PDF
2017-04-24 Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations Abstract | PDF
2017-04-19 Generative Face Completion Abstract | PDF
2017-04-19 Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR Models under Upscaling Abstract | PDF
2017-04-17 The Causality/Repair Connection in Databases: Causality-Programs Abstract | PDF
2017-04-10 Unsupervised prototype learning in an associative-memory network Abstract | PDF
2017-04-10 Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Abstract | PDF
2017-04-09 Mixed Graphical Models for Causal Analysis of Multi-modal Variables Abstract | PDF
2017-04-06 Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions Abstract | PDF
2017-04-06 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness Abstract | PDF
2017-04-03 A comparative study of counterfactual estimators Abstract | PDF
2017-03-31 The Risk of Machine Learning Abstract | PDF
2017-03-31 A New Measure of Conditional Dependence Abstract | PDF
2017-03-30 Reliable Decision Support using Counterfactual Models Abstract | PDF
2017-03-30 Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention Abstract | PDF
2017-03-27 A Visual Measure of Changes to Weighted Self-Organizing Map Patterns Abstract | PDF
2017-03-20 Counterfactual Fairness Abstract | PDF
2017-03-20 Foundations for a Probabilistic Event Calculus Abstract | PDF
2017-03-20 Artificial Intelligence and Economic Theories Abstract | PDF
2017-03-17 Effective Evaluation using Logged Bandit Feedback from Multiple Loggers Abstract | PDF
2017-03-16 Causal Inference through the Method of Direct Estimation Abstract | PDF
2017-03-16 Generalised Reichenbachian Common Cause Systems Abstract | PDF
2017-03-15 Deep learning with convolutional neural networks for EEG decoding and visualization Abstract | PDF
2017-03-14 A statistical model for aggregating judgments by incorporating peer predictions Abstract | PDF
2017-03-13 Probabilistic Matching: Causal Inference under Measurement Errors Abstract | PDF
2017-03-11 Learning Large-Scale Bayesian Networks with the sparsebn Package Abstract | PDF
2017-03-10 Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations Abstract | PDF
2017-03-09 Counterfactuals, indicative conditionals, and negation under uncertainty: Are there cross-cultural differences? Abstract | PDF
2017-03-09 Abductive, Causal, and Counterfactual Conditionals Under Incomplete Probabilistic Knowledge Abstract | PDF
2017-03-08 Efficient Simulation of Financial Stress Testing Scenarios with Suppes-Bayes Causal Networks Abstract | PDF
2017-03-08 Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks Abstract | PDF
2017-03-08 Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks Abstract | PDF
2017-03-08 Cost-Optimal Learning of Causal Graphs Abstract | PDF
2017-03-03 Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning Abstract | PDF
2017-03-03 Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Abstract | PDF
2017-02-28 Achieving non-discrimination in prediction Abstract | PDF
2017-02-28 Do Reichenbachian Common Cause Systems of Arbitrary Finite Size Exist? Abstract | PDF
2017-02-27 Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments Abstract | PDF
2017-02-27 Semi-parametric Network Structure Discovery Models Abstract | PDF
2017-02-23 Causal Discovery Using Proxy Variables Abstract | PDF
2017-02-22 Causal Inference by Stochastic Complexity Abstract | PDF
2017-02-22 Counterfactual Control for Free from Generative Models Abstract | PDF
2017-02-22 Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store Abstract | PDF
2017-02-21 Causal Inference on Multivariate and Mixed-Type Data Abstract | PDF
2017-02-16 Theoretical and Practical Advances on Smoothing for Extensive-Form Games Abstract | PDF
2017-02-15 Simple rules for complex decisions Abstract | PDF
2017-02-13 The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study Abstract | PDF
2017-02-13 Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery Abstract | PDF
2017-02-10 $L_2$Boosting for Economic Applications Abstract | PDF
2017-02-09 Efficient Policy Learning Abstract | PDF
2017-02-08 Causal Regularization Abstract | PDF
2017-02-07 Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States Abstract | PDF
2017-02-03 Energy Prediction using Spatiotemporal Pattern Networks Abstract | PDF
2017-01-30 Interaction Information for Causal Inference: The Case of Directed Triangle Abstract | PDF
2017-01-30 Double/Debiased/Neyman Machine Learning of Treatment Effects Abstract | PDF
2017-01-28 Entropic Causality and Greedy Minimum Entropy Coupling Abstract | PDF
2017-01-26 The Causal Frame Problem: An Algorithmic Perspective Abstract | PDF
2017-01-26 Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case Abstract | PDF
2017-01-25 Does Weather Matter? Causal Analysis of TV Logs Abstract | PDF
2017-01-23 Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables Abstract | PDF
2017-01-19 Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods Abstract | PDF
2017-01-11 Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines Abstract | PDF
2017-01-10 Bidirectional American Sign Language to English Translation Abstract | PDF
2017-01-10 Identifying Best Interventions through Online Importance Sampling Abstract | PDF
2017-01-09 Temporal scale selection in time-causal scale space Abstract | PDF
2017-01-08 Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis Abstract | PDF
2017-01-05 Crime Topic Modeling Abstract | PDF
2017-01-04 Learning causal effects from many randomized experiments using regularized instrumental variables Abstract | PDF
2017-01-03 Semidefinite tests for latent causal structures Abstract | PDF
2017-01-03 Deep Convolutional Neural Networks for Pairwise Causality Abstract | PDF
You can’t perform that action at this time.