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high-dimensional statistics

145 papers

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Co-occurring keywords

sparse regression (175) graphical model (864) high-dimensional regression (142) covariance estimation (98) robust statistics (102) sparse estimation (88) hypothesis testing (254) robust estimation (168) generalized linear model (138) variable selection (146)

Papers

From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024
Robust group and simultaneous inferences for high-dimensional single index model NIPS 2024
Dimension-free Structured Covariance Estimation COLT 2024
Pivotal Estimation of Linear Discriminant Analysis in High Dimensions JMLR 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023
Statistical Insights into HSIC in High Dimensions NIPS 2023
Feature Adaptation for Sparse Linear Regression NIPS 2023
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach NIPS 2023
On Single-Index Models beyond Gaussian Data NIPS 2023
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions ICML 2023
Bootstrap in High Dimension with Low Computation ICML 2023
Distributed Sparse Regression via Penalization JMLR 2023
Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023
Robust Methods for High-Dimensional Linear Learning JMLR 2023
Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NIPS 2023
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
Tight and Robust Private Mean Estimation with Few Users ICML 2022
Feature screening with kernel knockoffs AISTATS 2022