Statistical Learning

Stochastic Block Transition Models for Dynamic Networks AISTATS 2015 Strong Consistency of the Prototype Based Clustering in Probabilistic Space JMLR 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015 Sum-of-Squares Lower Bounds for Sparse PCA NeurIPS 2015 Testing Closeness With Unequal Sized Samples NeurIPS 2015 The Ladder: A Reliable Leaderboard for Machine Learning Competitions ICML 2015 The Likelihood-Ratio Test and Efficient Robust Estimation ICCV 2015 The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015 Toward Minimax Off-policy Value Estimation AISTATS 2015 Towards an Axiomatic Approach to Hierarchical Clustering of Measures JMLR 2015 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015 UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints CVPR 2015 Variance Reduction via Antithetic Markov Chains AISTATS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 V-Matrix Method of Solving Statistical Inference Problems JMLR 2015 What Makes an Object Memorable? ICCV 2015 A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014 Active Regression by Stratification NeurIPS 2014 Adaptive Minimax Regression Estimation over Sparse ℓ_q-Hulls JMLR 2014 A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014 Agnostic Bayesian Learning of Ensembles ICML 2014 A Kernel Independence Test for Random Processes ICML 2014 (Almost) No Label No Cry NeurIPS 2014