conftrace_

high-dimensional linear regression

4 papers

Explore in graph

Co-occurring keywords · papers mentioning both

low-rank design (1) asymptotic characterization (1) group adversarial training (1) restricted eigenvalue condition (1) prediction error (1) confidence interval (1) adaptive procedure (1) residual bootstrap (1) linear contrast (1) gaussian covariate (1)

Papers

High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing ICML 2024 Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014