Statistics

Learning the dependence structure of rare events: a non-asymptotic study COLT 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 Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs COLT 2015 Optimal Ridge Detection using Coverage Risk NeurIPS 2015 Optimal Testing for Properties of Distributions NeurIPS 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NeurIPS 2015 Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Subsampling Methods for Persistent Homology ICML 2015 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results COLT 2014 Elicitation and Identification of Properties COLT 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Exponential Concentration of a Density Functional Estimator NeurIPS 2014 Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014 Learning the Parameters of Determinantal Point Process Kernels ICML 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Nonparametric Estimation of Renyi Divergence and Friends ICML 2014