nips2015.md

NeurIPS2015

• Zheng Qu, Peter Richtarik, Tong Zhang. "Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling" | [Home Page] | [PDF]

• Arya Mazumdar, Ankit Singh Rawat. "Associative Memory via a Sparse Recovery Model" | [Home Page] | [PDF]

• Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor. "Policy Gradient for Coherent Risk Measures" | [Home Page] | [PDF]

• Miguel A. Carreira-Perpinan, Max Vladymyrov. "A fast, universal algorithm to learn parametric nonlinear embeddings" | [Home Page] | [PDF]

• Tian Lin, Jian Li, Wei Chen. "Stochastic Online Greedy Learning with Semi-bandit Feedbacks" | [Home Page] | [PDF]

• Qing Sun, Dhruv Batra. "SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals" | [Home Page] | [PDF]

• Huitong Qiu, Fang Han, Han Liu, Brian Caffo. "Robust Portfolio Optimization" | [Home Page] | [PDF]

• Maksim Lapin, Matthias Hein, Bernt Schiele. "Top-k Multiclass SVM" | [Home Page] | [PDF]

• Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco. "Less is More: Nyström Computational Regularization" | [Home Page] | [PDF]

• Akihiro Kishimoto, Radu Marinescu, Adi Botea. "Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models" | [Home Page] | [PDF]

• Yining Wang, Yu-Xiang Wang, Aarti Singh. "Differentially private subspace clustering" | [Home Page] | [PDF]

• Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon. "Matrix Completion with Noisy Side Information" | [Home Page] | [PDF]

• Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman, james m. robins. "Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations" | [Home Page] | [PDF]

• Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gael Varoquaux. "Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data" | [Home Page] | [PDF]

• Xingjian SHI, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun WOO. "Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting" | [Home Page] | [PDF]

• Isabel Valera, Francisco Ruiz, Lennart Svensson, Fernando Perez-Cruz. "Infinite Factorial Dynamical Model" | [Home Page] | [PDF]

• Scott Linderman, Matthew J. Johnson, Ryan P. Adams. "Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation" | [Home Page] | [PDF]

• Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent" | [Home Page] | [PDF]

• Philip Bachman, Doina Precup. "Data Generation as Sequential Decision Making" | [Home Page] | [PDF]

• Alina Beygelzimer, Elad Hazan, Satyen Kale, Haipeng Luo. "Online Gradient Boosting" | [Home Page] | [PDF]

• Yen-Chi Chen, Christopher R. Genovese, Shirley Ho, Larry Wasserman. "Optimal Ridge Detection using Coverage Risk" | [Home Page] | [PDF]

• Yuval Harel, Ron Meir, Manfred Opper. "A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding" | [Home Page] | [PDF]

• Rahul G. Krishnan, Simon Lacoste-Julien, David Sontag. "Barrier Frank-Wolfe for Marginal Inference" | [Home Page] | [PDF]

• Richard Combes, Mohammad Sadegh Talebi Mazraeh Shahi, Alexandre Proutiere, marc lelarge. "Combinatorial Bandits Revisited" | [Home Page] | [PDF]

• Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford, Robert E. Schapire. "Efficient and Parsimonious Agnostic Active Learning" | [Home Page] | [PDF]

• Philip S. Thomas, Scott Niekum, Georgios Theocharous, George Konidaris. "Policy Evaluation Using the Ω-Return" | [Home Page] | [PDF]

• Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez. "Bayesian Optimization with Exponential Convergence" | [Home Page] | [PDF]

• James R. Lloyd, Zoubin Ghahramani. "Statistical Model Criticism using Kernel Two Sample Tests" | [Home Page] | [PDF]

• Jan K. Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio. "Attention-Based Models for Speech Recognition" | [Home Page] | [PDF]

• Jimei Yang, Scott E. Reed, Ming-Hsuan Yang, Honglak Lee. "Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis" | [Home Page] | [PDF]

• Steve K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha. "Backpropagation for Energy-Efficient Neuromorphic Computing" | [Home Page] | [PDF]

• Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum, Frank Hutter. "Efficient and Robust Automated Machine Learning" | [Home Page] | [PDF]

• Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song. "Time-Sensitive Recommendation From Recurrent User Activities" | [Home Page] | [PDF]

• Michalis Titsias RC AUEB, Miguel Lázaro-Gredilla. "Local Expectation Gradients for Black Box Variational Inference" | [Home Page] | [PDF]

• Marylou Gabrie, Eric W. Tramel, Florent Krzakala. "Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy" | [Home Page] | [PDF]

• Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu. "High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality" | [Home Page] | [PDF]

• Nicolas Heess, Gregory Wayne, David Silver, Timothy Lillicrap, Tom Erez, Yuval Tassa. "Learning Continuous Control Policies by Stochastic Value Gradients" | [Home Page] | [PDF]

• Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" | [Home Page] | [PDF]

• Mohammad Norouzi, Maxwell Collins, Matthew A. Johnson, David J. Fleet, Pushmeet Kohli. "Efficient Non-greedy Optimization of Decision Trees" | [Home Page] | [PDF]

• Lorenzo Rosasco, Silvia Villa. "Learning with Incremental Iterative Regularization" | [Home Page] | [PDF]

• Justin Domke. "Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets" | [Home Page] | [PDF]

• Alkis Gotovos, Hamed Hassani, Andreas Krause. "Sampling from Probabilistic Submodular Models" | [Home Page] | [PDF]

• Yali Wan, Marina Meila. "A class of network models recoverable by spectral clustering" | [Home Page] | [PDF]

• Eunho Yang, Aurelie C. Lozano, Pradeep K. Ravikumar. "Closed-form Estimators for High-dimensional Generalized Linear Models" | [Home Page] | [PDF]

• Cesc C. Park, Gunhee Kim. "Expressing an Image Stream with a Sequence of Natural Sentences" | [Home Page] | [PDF]

• Jean-Baptiste SCHIRATTI, Stéphanie ALLASSONNIERE, Olivier Colliot, Stanley DURRLEMAN. "Learning spatiotemporal trajectories from manifold-valued longitudinal data" | [Home Page] | [PDF]

• Tianyang Li, Adarsh Prasad, Pradeep K. Ravikumar. "Fast Classification Rates for High-dimensional Gaussian Generative Models" | [Home Page] | [PDF]

• Dylan J. Foster, Alexander Rakhlin, Karthik Sridharan. "Adaptive Online Learning" | [Home Page] | [PDF]

• Kush Bhatia, Prateek Jain, Purushottam Kar. "Robust Regression via Hard Thresholding" | [Home Page] | [PDF]

• Martin Slawski, Ping Li. "b-bit Marginal Regression" | [Home Page] | [PDF]

• Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis Bach. "Spectral Norm Regularization of Orthonormal Representations for Graph Transduction" | [Home Page] | [PDF]

• Cameron Musco, Christopher Musco. "Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition" | [Home Page] | [PDF]

• Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath. "Optimal Testing for Properties of Distributions" | [Home Page] | [PDF]

• Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvari. "Combinatorial Cascading Bandits" | [Home Page] | [PDF]

• Ye Wang, David B. Dunson. "Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process" | [Home Page] | [PDF]

• Rupesh K. Srivastava, Klaus Greff, Jürgen Schmidhuber. "Training Very Deep Networks" | [Home Page] | [PDF]

• Se-Young Yun, marc lelarge, Alexandre Proutiere. "Fast and Memory Optimal Low-Rank Matrix Approximation" | [Home Page] | [PDF]

• Xiang Zhang, Junbo Zhao, Yann LeCun. "Character-level Convolutional Networks for Text Classification" | [Home Page] | [PDF]

• Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel V. Todorov. "Interactive Control of Diverse Complex Characters with Neural Networks" | [Home Page] | [PDF]

• Armand Joulin, Tomas Mikolov. "Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets" | [Home Page] | [PDF]

• Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton. "Grammar as a Foreign Language" | [Home Page] | [PDF]

• Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn, Ludwig Schmidt. "Practical and Optimal LSH for Angular Distance" | [Home Page] | [PDF]

• Kyle R. Ulrich, David E. Carlson, Kafui Dzirasa, Lawrence Carin. "GP Kernels for Cross-Spectrum Analysis" | [Home Page] | [PDF]

• Peter Schulam, Suchi Saria. "A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure" | [Home Page] | [PDF]

• Daniel Vainsencher, Han Liu, Tong Zhang. "Local Smoothness in Variance Reduced Optimization" | [Home Page] | [PDF]

• Mijung Park, Gergo Bohner, Jakob H. Macke. "Unlocking neural population non-stationarities using hierarchical dynamics models" | [Home Page] | [PDF]

• Oriol Vinyals, Meire Fortunato, Navdeep Jaitly. "Pointer Networks" | [Home Page] | [PDF]

• Lucas Maystre, Matthias Grossglauser. "Fast and Accurate Inference of Plackett–Luce Models" | [Home Page] | [PDF]

• Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon. "Learning Bayesian Networks with Thousands of Variables" | [Home Page] | [PDF]

• Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt. "Differentially Private Learning of Structured Discrete Distributions" | [Home Page] | [PDF]

• Lucas Theis, Matthias Bethge. "Generative Image Modeling Using Spatial LSTMs" | [Home Page] | [PDF]

• Megasthenis Asteris, Dimitris Papailiopoulos, Anastasios Kyrillidis, Alexandros G. Dimakis. "Sparse PCA via Bipartite Matchings" | [Home Page] | [PDF]

• Mithun Chakraborty, Sanmay Das. "Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents" | [Home Page] | [PDF]

• Happy Mittal, Anuj Mahajan, Vibhav G. Gogate, Parag Singla. "Lifted Inference Rules With Constraints" | [Home Page] | [PDF]

• CHRISTOS THRAMPOULIDIS, Ehsan Abbasi, Babak Hassibi. "LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements" | [Home Page] | [PDF]

• Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, koray kavukcuoglu. "Natural Neural Networks" | [Home Page] | [PDF]

• Michael C. Hughes, William T. Stephenson, Erik Sudderth. "Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models" | [Home Page] | [PDF]

• Rémi Bardenet, Michalis Titsias RC AUEB. "Inference for determinantal point processes without spectral knowledge" | [Home Page] | [PDF]

• Koosha Khalvati, Rajesh PN Rao. "A Bayesian Framework for Modeling Confidence in Perceptual Decision Making" | [Home Page] | [PDF]

• Christoph Dann, Emma Brunskill. "Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning" | [Home Page] | [PDF]

• Huasen Wu, R. Srikant, Xin Liu, Chong Jiang. "Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits" | [Home Page] | [PDF]

• Mingjun Zhong, Nigel Goddard, Charles Sutton. "Latent Bayesian melding for integrating individual and population models" | [Home Page] | [PDF]

• Michaël Perrot, Amaury Habrard. "Regressive Virtual Metric Learning" | [Home Page] | [PDF]

• Mahito Sugiyama, Karsten Borgwardt. "Halting in Random Walk Kernels" | [Home Page] | [PDF]

• Mohammad Emtiyaz E. Khan, Pierre Baque, François Fleuret, Pascal Fua. "Kullback-Leibler Proximal Variational Inference" | [Home Page] | [PDF]

• Qinqing Zheng, John Lafferty. "A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements" | [Home Page] | [PDF]

• Keenon Werling, Arun Tejasvi Chaganty, Percy S. Liang, Christopher D. Manning. "On-the-Job Learning with Bayesian Decision Theory" | [Home Page] | [PDF]

• Max Jaderberg, Karen Simonyan, Andrew Zisserman, koray kavukcuoglu. "Spatial Transformer Networks" | [Home Page] | [PDF]

• Peter Flach, Meelis Kull. "Precision-Recall-Gain Curves: PR Analysis Done Right" | [Home Page] | [PDF]

• Julian E. Yarkony, Charless Fowlkes. "Planar Ultrametrics for Image Segmentation" | [Home Page] | [PDF]

• Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain. "Sparse Local Embeddings for Extreme Multi-label Classification" | [Home Page] | [PDF]

• Qingqing Huang, Sham M. Kakade. "Super-Resolution Off the Grid" | [Home Page] | [PDF]

• Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, David Blei. "Automatic Variational Inference in Stan" | [Home Page] | [PDF]

• Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon. "Extending Gossip Algorithms to Distributed Estimation of U-statistics" | [Home Page] | [PDF]

• Abbas Abdolmaleki, Rudolf Lioutikov, Jan R. Peters, Nuno Lau, Luis Pualo Reis, Gerhard Neumann. "Model-Based Relative Entropy Stochastic Search" | [Home Page] | [PDF]

• Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, Tapani Raiko. "Semi-supervised Learning with Ladder Networks" | [Home Page] | [PDF]

• Takashi Takenouchi, Takafumi Kanamori. "Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces" | [Home Page] | [PDF]

• Ralph Bourdoukan, Sophie Denève. "Enforcing balance allows local supervised learning in spiking recurrent networks" | [Home Page] | [PDF]

• Oren Anava, Elad Hazan, Shie Mannor. "Online Learning for Adversaries with Memory: Price of Past Mistakes" | [Home Page] | [PDF]

• Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How. "Streaming, Distributed Variational Inference for Bayesian Nonparametrics" | [Home Page] | [PDF]

• Juho Lee, Seungjin Choi. "Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models" | [Home Page] | [PDF]

• Adith Swaminathan, Thorsten Joachims. "The Self-Normalized Estimator for Counterfactual Learning" | [Home Page] | [PDF]

• Yaron Singer, Jan Vondrak. "Information-theoretic lower bounds for convex optimization with erroneous oracles" | [Home Page] | [PDF]

• Tuo Zhao, Zhaoran Wang, Han Liu. "A Nonconvex Optimization Framework for Low Rank Matrix Estimation" | [Home Page] | [PDF]

• Kisuk Lee, Aleksandar Zlateski, Vishwanathan Ashwin, H. Sebastian Seung. "Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction" | [Home Page] | [PDF]

• Yunwen Lei, Urun Dogan, Alexander Binder, Marius Kloft. "Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms" | [Home Page] | [PDF]

• Amir Dezfouli, Edwin V. Bonilla. "Scalable Inference for Gaussian Process Models with Black-Box Likelihoods" | [Home Page] | [PDF]

• Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother, Bogdan Savchynskyy. "M-Best-Diverse Labelings for Submodular Energies and Beyond" | [Home Page] | [PDF]

• Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David. "BinaryConnect: Training Deep Neural Networks with binary weights during propagations" | [Home Page] | [PDF]

• Jason Hartline, Vasilis Syrgkanis, Eva Tardos. "No-Regret Learning in Bayesian Games" | [Home Page] | [PDF]

• Eunho Yang, Aurelie C. Lozano. "Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso" | [Home Page] | [PDF]

• Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson. "Parallelizing MCMC with Random Partition Trees" | [Home Page] | [PDF]

• Murat A. Erdogdu, Andrea Montanari. "Convergence rates of sub-sampled Newton methods" | [Home Page] | [PDF]

• Vitaly Kuznetsov, Mehryar Mohri. "Learning Theory and Algorithms for Forecasting Non-stationary Time Series" | [Home Page] | [PDF]

• Yann Dauphin, Harm de Vries, Yoshua Bengio. "Equilibrated adaptive learning rates for non-convex optimization" | [Home Page] | [PDF]

• Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu. "Optimal Linear Estimation under Unknown Nonlinear Transform" | [Home Page] | [PDF]

• Huishuai Zhang, Yi Zhou, Yingbin Liang. "Analysis of Robust PCA via Local Incoherence" | [Home Page] | [PDF]

• Qiang Liu, John W. Fisher III, Alexander T. Ihler. "Probabilistic Variational Bounds for Graphical Models" | [Home Page] | [PDF]

• Andrew G. Wilson, Christoph Dann, Chris Lucas, Eric P. Xing. "The Human Kernel" | [Home Page] | [PDF]

• Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu. "Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization" | [Home Page] | [PDF]

• Jason D. Lee, Yuekai Sun, Jonathan E. Taylor. "Evaluating the statistical significance of biclusters" | [Home Page] | [PDF]

• Yining Wang, Hsiao-Yu Tung, Alexander J. Smola, Anima Anandkumar. "Fast and Guaranteed Tensor Decomposition via Sketching" | [Home Page] | [PDF]

• Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet. "Inverse Reinforcement Learning with Locally Consistent Reward Functions" | [Home Page] | [PDF]

• Maria Lomeli, Stefano Favaro, Yee Whye Teh. "A hybrid sampler for Poisson-Kingman mixture models" | [Home Page] | [PDF]

• Brendan van Rooyen, Aditya Menon, Robert C. Williamson. "Learning with Symmetric Label Noise: The Importance of Being Unhinged" | [Home Page] | [PDF]

• Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi. "Visalogy: Answering Visual Analogy Questions" | [Home Page] | [PDF]

• Julien Audiffren, Liva Ralaivola. "Cornering Stationary and Restless Mixing Bandits with Remix-UCB" | [Home Page] | [PDF]

• Purnamrita Sarkar, Deepayan Chakrabarti, peter j. bickel. "The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels" | [Home Page] | [PDF]

• Jacob Andreas, Maxim Rabinovich, Michael I. Jordan, Dan Klein. "On the Accuracy of Self-Normalized Log-Linear Models" | [Home Page] | [PDF]

• Harikrishna Narasimhan, David C. Parkes, Yaron Singer. "Learnability of Influence in Networks" | [Home Page] | [PDF]

• Ryan J. Giordano, Tamara Broderick, Michael I. Jordan. "Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes" | [Home Page] | [PDF]

• Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt Dubhashi. "Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization" | [Home Page] | [PDF]

• Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng. "End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture" | [Home Page] | [PDF]

• Moontae Lee, David Bindel, David Mimno. "Robust Spectral Inference for Joint Stochastic Matrix Factorization" | [Home Page] | [PDF]

• Wouter M. Koolen, Alan Malek, Peter L. Bartlett, Yasin Abbasi Yadkori. "Minimax Time Series Prediction" | [Home Page] | [PDF]

• Pedro O. O. Pinheiro, Ronan Collobert, Piotr Dollar. "Learning to Segment Object Candidates" | [Home Page] | [PDF]

• Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen. "A Theory of Decision Making Under Dynamic Context" | [Home Page] | [PDF]

• Nilesh Tripuraneni, Shixiang (Shane) Gu, Hong Ge, Zoubin Ghahramani. "Particle Gibbs for Infinite Hidden Markov Models" | [Home Page] | [PDF]

• Ofer Dekel, Ronen Eldan, Tomer Koren. "Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff" | [Home Page] | [PDF]

• Dinesh Ramasamy, Upamanyu Madhow. "Compressive spectral embedding: sidestepping the SVD" | [Home Page] | [PDF]

• Alireza Makhzani, Brendan J. Frey. "Winner-Take-All Autoencoders" | [Home Page] | [PDF]

• Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An, Feng Shi, Dinggang Shen. "Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis" | [Home Page] | [PDF]

• Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez, Shuang Li, Hongyuan Zha, Le Song. "COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution" | [Home Page] | [PDF]

• Kunal Talwar, Abhradeep Guha Thakurta, Li Zhang. "Nearly Optimal Private LASSO" | [Home Page] | [PDF]

• Volodymyr Kuleshov, Percy S. Liang. "Calibrated Structured Prediction" | [Home Page] | [PDF]

• Oren Rippel, Jasper Snoek, Ryan P. Adams. "Spectral Representations for Convolutional Neural Networks" | [Home Page] | [PDF]

• Xiangyu Wang, Chenlei Leng, David B. Dunson. "On the consistency theory of high dimensional variable screening" | [Home Page] | [PDF]

• Mehryar Mohri, Andres Munoz. "Revenue Optimization against Strategic Buyers" | [Home Page] | [PDF]

• James McInerney, Rajesh Ranganath, David Blei. "The Population Posterior and Bayesian Modeling on Streams" | [Home Page] | [PDF]

• Amar Shah, Zoubin Ghahramani. "Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions" | [Home Page] | [PDF]

• Dan Rosenbaum, Yair Weiss. "The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors" | [Home Page] | [PDF]

• Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari. "Fighting Bandits with a New Kind of Smoothness" | [Home Page] | [PDF]

• Parikshit Shah, Nikhil Rao, Gongguo Tang. "Sparse and Low-Rank Tensor Decomposition" | [Home Page] | [PDF]

• Bhaswar Bhattacharya, Gregory Valiant. "Testing Closeness With Unequal Sized Samples" | [Home Page] | [PDF]

• Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone. "Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach" | [Home Page] | [PDF]

• Somdeb Sarkhel, Parag Singla, Vibhav G. Gogate. "Fast Lifted MAP Inference via Partitioning" | [Home Page] | [PDF]

• Ibrahim M. Alabdulmohsin. "Algorithmic Stability and Uniform Generalization" | [Home Page] | [PDF]

• Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio. "Learning with Group Invariant Features: A Kernel Perspective." | [Home Page] | [PDF]

• Janne H. Korhonen, Pekka Parviainen. "Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number" | [Home Page] | [PDF]

• Rafael Frongillo, Mark D. Reid. "Convergence Analysis of Prediction Markets via Randomized Subspace Descent" | [Home Page] | [PDF]

• Guillaume Papa, Stéphan Clémençon, Aurélien Bellet. "SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk" | [Home Page] | [PDF]

• Jie Wang, Jieping Ye. "Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection" | [Home Page] | [PDF]

• Tatsunori Hashimoto, Yi Sun, Tommi Jaakkola. "From random walks to distances on unweighted graphs" | [Home Page] | [PDF]

• Alexander Novikov, Dmitrii Podoprikhin, Anton Osokin, Dmitry P. Vetrov. "Tensorizing Neural Networks" | [Home Page] | [PDF]

• Pranjal Awasthi, Andrej Risteski. "On some provably correct cases of variational inference for topic models" | [Home Page] | [PDF]

• Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon. "GAP Safe screening rules for sparse multi-task and multi-class models" | [Home Page] | [PDF]

• Tor Lattimore. "The Pareto Regret Frontier for Bandits" | [Home Page] | [PDF]

• Jackson Gorham, Lester Mackey. "Measuring Sample Quality with Stein's Method" | [Home Page] | [PDF]

• Prateek Jain, Nagarajan Natarajan, Ambuj Tewari. "Predtron: A Family of Online Algorithms for General Prediction Problems" | [Home Page] | [PDF]

• James Hensman, Alexander G. Matthews, Maurizio Filippone, Zoubin Ghahramani. "MCMC for Variationally Sparse Gaussian Processes" | [Home Page] | [PDF]

• Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis, Satinder Singh. "Action-Conditional Video Prediction using Deep Networks in Atari Games" | [Home Page] | [PDF]

• Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh. "Unified View of Matrix Completion under General Structural Constraints" | [Home Page] | [PDF]

• Christopher R. Dance, Tomi Silander. "When are Kalman-Filter Restless Bandits Indexable?" | [Home Page] | [PDF]

• Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G. Berneshawi, Huimin Ma, Sanja Fidler, Raquel Urtasun. "3D Object Proposals for Accurate Object Class Detection" | [Home Page] | [PDF]

• Qinqing Zheng, Ryota Tomioka. "Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm" | [Home Page] | [PDF]

• Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré. "Biologically Inspired Dynamic Textures for Probing Motion Perception" | [Home Page] | [PDF]

• Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler, Amos J. Storkey. "Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling" | [Home Page] | [PDF]

• Andrew M. Dai, Quoc V. Le. "Semi-supervised Sequence Learning" | [Home Page] | [PDF]

• Wei Sun, Zhaoran Wang, Han Liu, Guang Cheng. "Non-convex Statistical Optimization for Sparse Tensor Graphical Model" | [Home Page] | [PDF]

• Timothy Kopp, Parag Singla, Henry Kautz. "Lifted Symmetry Detection and Breaking for MAP Inference" | [Home Page] | [PDF]

• Christian Borgs, Jennifer Chayes, Adam Smith. "Private Graphon Estimation for Sparse Graphs" | [Home Page] | [PDF]

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• Gergely Neu. "Explore no more: Improved high-probability regret bounds for non-stochastic bandits" | [Home Page] | [PDF]

• Chao Qu, Huan Xu. "Subspace Clustering with Irrelevant Features via Robust Dantzig Selector" | [Home Page] | [PDF]

• Maxim Rabinovich, Elaine Angelino, Michael I. Jordan. "Variational Consensus Monte Carlo" | [Home Page] | [PDF]

• Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer. "Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks" | [Home Page] | [PDF]

• Behnam Neyshabur, Russ R. Salakhutdinov, Nati Srebro. "Path-SGD: Path-Normalized Optimization in Deep Neural Networks" | [Home Page] | [PDF]

• Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros G. Dimakis. "Orthogonal NMF through Subspace Exploration" | [Home Page] | [PDF]

• Shuang Li, Yao Xie, Hanjun Dai, Le Song. "M-Statistic for Kernel Change-Point Detection" | [Home Page] | [PDF]

• Chicheng Zhang, Kamalika Chaudhuri. "Active Learning from Weak and Strong Labelers" | [Home Page] | [PDF]

• Tengyu Ma, Avi Wigderson. "Sum-of-Squares Lower Bounds for Sparse PCA" | [Home Page] | [PDF]

• Adria Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba. "Where are they looking?" | [Home Page] | [PDF]

• Mathew Monfort, Brenden M. Lake, Brenden M. Lake, Brian Ziebart, Patrick Lucey, Josh Tenenbaum. "Softstar: Heuristic-Guided Probabilistic Inference" | [Home Page] | [PDF]

• Siddhartha Banerjee, Peter Lofgren. "Fast Bidirectional Probability Estimation in Markov Models" | [Home Page] | [PDF]

• Ross Goroshin, Michael F. Mathieu, Yann LeCun. "Learning to Linearize Under Uncertainty" | [Home Page] | [PDF]

• Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien, Brian McWilliams. "Variance Reduced Stochastic Gradient Descent with Neighbors" | [Home Page] | [PDF]

• Rafael Frongillo, Ian Kash. "On Elicitation Complexity" | [Home Page] | [PDF]

• Jacob Steinhardt, Percy S. Liang. "Learning with Relaxed Supervision" | [Home Page] | [PDF]

• Ravi Sastry Ganti, Laura Balzano, Rebecca Willett. "Matrix Completion Under Monotonic Single Index Models" | [Home Page] | [PDF]

• Vivien Seguy, Marco Cuturi. "Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric" | [Home Page] | [PDF]

• Pinghua Gong, Jieping Ye. "HONOR: Hybrid Optimization for NOn-convex Regularized problems" | [Home Page] | [PDF]

• Mingyuan Zhou, Yulai Cong, Bo Chen. "The Poisson Gamma Belief Network" | [Home Page] | [PDF]

• David I. Inouye, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial" | [Home Page] | [PDF]

• Yingzhen Li, José Miguel Hernández-Lobato, Richard E. Turner. "Stochastic Expectation Propagation" | [Home Page] | [PDF]

• Vidyashankar Sivakumar, Arindam Banerjee, Pradeep K. Ravikumar. "Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs" | [Home Page] | [PDF]

• Ahmed Alaoui, Michael W. Mahoney. "Fast Randomized Kernel Ridge Regression with Statistical Guarantees" | [Home Page] | [PDF]

• Ryan Kiros, Yukun Zhu, Russ R. Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler. "Skip-Thought Vectors" | [Home Page] | [PDF]

• Nikhil Rao, Hsiang-Fu Yu, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Collaborative Filtering with Graph Information: Consistency and Scalable Methods" | [Home Page] | [PDF]

• David Moore, Stuart J. Russell. "Gaussian Process Random Fields" | [Home Page] | [PDF]

• Seunghoon Hong, Hyeonwoo Noh, Bohyung Han. "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation" | [Home Page] | [PDF]

• Meisam Razaviyayn, Farzan Farnia, David Tse. "Discrete Rényi Classifiers" | [Home Page] | [PDF]

• David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher. "Preconditioned Spectral Descent for Deep Learning" | [Home Page] | [PDF]

• Walid Krichene, Alexandre Bayen, Peter L. Bartlett. "Accelerated Mirror Descent in Continuous and Discrete Time" | [Home Page] | [PDF]

• Huan Li, Zhouchen Lin. "Accelerated Proximal Gradient Methods for Nonconvex Programming" | [Home Page] | [PDF]

• Naoto Ohsaka, Yuichi Yoshida. "Monotone k-Submodular Function Maximization with Size Constraints" | [Home Page] | [PDF]

• Jeffrey Pennington, Felix Xinnan X. Yu, Sanjiv Kumar. "Spherical Random Features for Polynomial Kernels" | [Home Page] | [PDF]

• Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin. "A Dual Augmented Block Minimization Framework for Learning with Limited Memory" | [Home Page] | [PDF]

• David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre, Rafael Bombarell, Timothy Hirzel, Alan Aspuru-Guzik, Ryan P. Adams. "Convolutional Networks on Graphs for Learning Molecular Fingerprints" | [Home Page] | [PDF]

• Wei Ping, Qiang Liu, Alexander T. Ihler. "Decomposition Bounds for Marginal MAP" | [Home Page] | [PDF]

• Sebastian Bitzer, Stefan Kiebel. "The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions" | [Home Page] | [PDF]

• Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu. "Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question" | [Home Page] | [PDF]

• Jamie H. Morgenstern, Tim Roughgarden. "On the Pseudo-Dimension of Nearly Optimal Auctions" | [Home Page] | [PDF]

• Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine A. Heller. "Fast Second Order Stochastic Backpropagation for Variational Inference" | [Home Page] | [PDF]

• Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada. "Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions" | [Home Page] | [PDF]

• Gunwoong Park, Garvesh Raskutti. "Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring" | [Home Page] | [PDF]

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• Emile Richard, Georges A. Goetz, E.J. Chichilnisky. "Recognizing retinal ganglion cells in the dark" | [Home Page] | [PDF]