Larry Wasserman

Decorrelated Variable Importance JMLR 2024 Interactive rank testing by betting CLeaR 2022 Familywise Error Rate Control by Interactive Unmasking ICML 2020 PLLay: Efficient Topological Layer based on Persistent Landscapes NeurIPS 2020 Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension ICML 2019 Robust Topological Inference: Distance To a Measure and Kernel Distance JMLR 2018 Statistical Inference for Cluster Trees NeurIPS 2016 Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures AISTATS 2015 Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NeurIPS 2015 On Estimating L_2^2 Divergence AISTATS 2015 On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015 Optimal Ridge Detection using Coverage Risk NeurIPS 2015 Subsampling Methods for Persistent Homology ICML 2015 An Analysis of Active Learning with Uniform Feature Noise AISTATS 2014 Nonparametric Estimation of Renyi Divergence and Friends ICML 2014 Statistical Analysis of Metric Graph Reconstruction JMLR 2014 Cluster Trees on Manifolds NeurIPS 2013 Differential Privacy for Functions and Functional Data JMLR 2013 Distribution-Free Distribution Regression AISTATS 2013 Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NeurIPS 2013 A Comparison of the Lasso and Marginal Regression JMLR 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Minimax Manifold Estimation JMLR 2012 Minimax rates for homology inference AISTATS 2012 Stability of Density-Based Clustering JMLR 2012 The huge Package for High-dimensional Undirected Graph Estimation in R JMLR 2012 Forest Density Estimation JMLR 2011 Union Support Recovery in Multi-task Learning JMLR 2011 Graph-Valued Regression NeurIPS 2010 Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NeurIPS 2010 The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs JMLR 2009 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Compressed Regression NeurIPS 2007 SpAM: Sparse Additive Models NeurIPS 2007 Statistical Analysis of Semi-Supervised Regression NeurIPS 2007 Sparse Nonparametric Density Estimation in High Dimensions Using the Rodeo AISTATS 1999