high-dimensional statistics

Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NeurIPS 2023 Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023 On Single-Index Models beyond Gaussian Data NeurIPS 2023 Pivotal Estimation of Linear Discriminant Analysis in High Dimensions JMLR 2023 Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning JMLR 2023 Robust Methods for High-Dimensional Linear Learning JMLR 2023 Statistical Insights into HSIC in High Dimensions NeurIPS 2023 Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NeurIPS 2022 Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions NeurIPS 2022 Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions JMLR 2022 Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning COLT 2022 Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022 Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression AISTATS 2022 Feature screening with kernel knockoffs AISTATS 2022 Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022 Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 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 On Generalizations of Some Distance Based Classifiers for HDLSS Data JMLR 2022 On Learning Mixture Models with Sparse Parameters AISTATS 2022 Outlier-Robust Sparse Estimation via Non-Convex Optimization NeurIPS 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Robust Testing in High-Dimensional Sparse Models NeurIPS 2022 Strong Gaussian Approximation for the Sum of Random Vectors COLT 2022