high-dimensional statistics

Being Robust (in High Dimensions) Can Be Practical ICML 2017 Communication-efficient Distributed Sparse Linear Discriminant Analysis AISTATS 2017 Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma NeurIPS 2017 High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation ICML 2017 High-Dimensional Structured Quantile Regression ICML 2017 Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity NeurIPS 2017 Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017 Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017 Agnostic Estimation for Misspecified Phase Retrieval Models NeurIPS 2016 DECOrrelated feature space partitioning for distributed sparse regression NeurIPS 2016 Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016 Guarding against Spurious Discoveries in High Dimensions JMLR 2016 L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 2016 Learning Sparse Additive Models with Interactions in High Dimensions AISTATS 2016 Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models JMLR 2016 Sparse PCA via Covariance Thresholding JMLR 2016 The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016 A Direct Estimation of High Dimensional Stationary Vector Autoregressions JMLR 2015 Fast Classification Rates for High-dimensional Gaussian Generative Models NeurIPS 2015 Flexible High-Dimensional Classification Machines and Their Asymptotic Properties JMLR 2015 Joint Estimation of Multiple Precision Matrices with Common Structures JMLR 2015 On the consistency theory of high dimensional variable screening NeurIPS 2015 On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015 Optimal Linear Estimation under Unknown Nonlinear Transform NeurIPS 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015