Theory

Rationality, Optimism and Guarantees in General Reinforcement Learning JMLR 2015 Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015 Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters NeurIPS 2015 Riemannian Coding and Dictionary Learning: Kernels to the Rescue CVPR 2015 Robust Multiple Homography Estimation: An Ill-Solved Problem CVPR 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015 Sample Complexity of Learning Mahalanobis Distance Metrics NeurIPS 2015 Spectral Learning of Large Structured HMMs for Comparative Epigenomics NeurIPS 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Sum-of-Squares Lower Bounds for Sparse PCA NeurIPS 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 Testing Closeness With Unequal Sized Samples NeurIPS 2015 The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels NeurIPS 2015 The Ladder: A Reliable Leaderboard for Machine Learning Competitions ICML 2015 The Pareto Regret Frontier for Bandits NeurIPS 2015 Toward Minimax Off-policy Value Estimation AISTATS 2015 Towards an Axiomatic Approach to Hierarchical Clustering of Measures JMLR 2015 Understanding Deep Features With Computer-Generated Imagery ICCV 2015 Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015 Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015 Variable Selection is Hard COLT 2015 V-Matrix Method of Solving Statistical Inference Problems JMLR 2015 When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity JMLR 2015 Accurate Localization and Pose Estimation for Large 3D Models CVPR 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014