| 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 |
| 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 |
| 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 |
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 |
| 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 |
| 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 |
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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
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 |