Statistical Learning

Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Online Non-Parametric Regression COLT 2014 On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014 On the Complexity of A/B Testing COLT 2014 On the Consistency of Output Code Based Learning Algorithms for Multiclass Learning Problems COLT 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014 On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NeurIPS 2014 On the Testability of Models with Missing Data AISTATS 2014 Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014 Optimality of Graphlet Screening in High Dimensional Variable Selection JMLR 2014 Optimal learners for multiclass problems COLT 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Optimal rates for k-NN density and mode estimation NeurIPS 2014 PAC-Bayesian Collective Stability AISTATS 2014 PAC-Bayesian Theory for Transductive Learning AISTATS 2014 Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression AISTATS 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Rates of Convergence for Nearest Neighbor Classification NeurIPS 2014 Recursive Inversion Models for Permutations NeurIPS 2014 Robust Classification Under Sample Selection Bias NeurIPS 2014 Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification ICML 2014