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high dimensional statistics

19 papers

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Co-occurring keywords

high-dimensional statistics (145) graphical model (864) vector autoregression (19) corrupted sample (4) precision matrix estimation (27) robust estimation (168) support recovery (43) sparse regression (175) covariance matrix (101) sparse principal component analysis (47)

Papers

Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023
On Generalizations of Some Distance Based Classifiers for HDLSS Data JMLR 2022
Learning GMMs with Nearly Optimal Robustness Guarantees COLT 2022
Memorize to generalize: on the necessity of interpolation in high dimensional linear regression COLT 2022
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 2022
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time NIPS 2020
Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017
Sparse PCA via Covariance Thresholding JMLR 2016
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 2016
Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016
A Direct Estimation of High Dimensional Stationary Vector Autoregressions JMLR 2015
Large Scale Distributed Sparse Precision Estimation NIPS 2013
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Restricted Eigenvalue Properties for Correlated Gaussian Designs JMLR 2010
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs JMLR 2009