Statistics

M-Statistic for Kernel Change-Point Detection NeurIPS 2015 Non-convex Statistical Optimization for Sparse Tensor Graphical Model NeurIPS 2015 Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NeurIPS 2015 On Learning Distributions from their Samples COLT 2015 On Statistical Analysis of Neuroimages With Imperfect Registration ICCV 2015 On the Asymptotic Normality of an Estimate of a Regression Functional JMLR 2015 Optimal Estimation of Low Rank Density Matrices JMLR 2015 Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015 Optimal Ridge Detection using Coverage Risk NeurIPS 2015 Optimal Testing for Properties of Distributions NeurIPS 2015 Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NeurIPS 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015 Shell PCA: Statistical Shape Modelling in Shell Space ICCV 2015 Statistical Topological Data Analysis using Persistence Landscapes JMLR 2015 Stay on path: PCA along graph paths ICML 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015 Subsampling Methods for Persistent Homology ICML 2015 Testing Closeness With Unequal Sized Samples NeurIPS 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015 V-Matrix Method of Solving Statistical Inference Problems JMLR 2015 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 A Statistical Model for Event Sequence Data AISTATS 2014 A statistical model for tensor PCA NeurIPS 2014 A Statistical Perspective on Algorithmic Leveraging ICML 2014