statistical learning

Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014 Online Non-Parametric Regression COLT 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 A Comparative Framework for Preconditioned Lasso Algorithms NeurIPS 2013 Activized Learning with Uniform Classification Noise ICML 2013 A simple criterion for controlling selection bias AISTATS 2013 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013 Density estimation from unweighted k-nearest neighbor graphs: a roadmap NeurIPS 2013 Dirty Statistical Models NeurIPS 2013 Distribution-Free Distribution Regression AISTATS 2013 Distribution to Distribution Regression ICML 2013 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 Moment-based Uniform Deviation Bounds for k-means and Friends NeurIPS 2013 Online PCA for Contaminated Data NeurIPS 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 PAC-Bayes-Empirical-Bernstein Inequality NeurIPS 2013 Statistical Active Learning Algorithms NeurIPS 2013 Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy ICML 2013 Analysis of a Random Forests Model JMLR 2012 A Polynomial-time Form of Robust Regression NeurIPS 2012 Consistent Model Selection Criteria on High Dimensions JMLR 2012