Statistics

M-Statistic for Kernel Change-Point Detection NeurIPS 2015 Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NeurIPS 2015 On the consistency theory of high dimensional variable screening NeurIPS 2015 On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors NeurIPS 2015 Optimal Ridge Detection using Coverage Risk NeurIPS 2015 Principal Differences Analysis: Interpretable Characterization of Differences between Distributions NeurIPS 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities ACML 2015 Testing Closeness With Unequal Sized Samples NeurIPS 2015 The Likelihood-Ratio Test and Efficient Robust Estimation ICCV 2015 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Computing Parametric Ranking Models via Rank-Breaking ICML 2014 Consistency of weighted majority votes NeurIPS 2014 Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014 Efficiency of conformalized ridge regression COLT 2014 Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014 Elicitation and Identification of Properties COLT 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014 Kernel Mean Estimation via Spectral Filtering NeurIPS 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Learning without concentration COLT 2014