high-dimensional regression

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control JMLR 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Semi-supervised learning for linear extremile regression JMLR 2026 Single-Round Scalable Analytic Federated Learning CVPR 2026 Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks AISTATS 2025 Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025 High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025 Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025 Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025 Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025 Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025 Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection JMLR 2025 ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data AISTATS 2025 Sketching in High-Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors JMLR 2025 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression UAI 2024 Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract) COLT 2024 Inference on High-dimensional Single-index Models with Streaming Data JMLR 2024 Logistic Regression Under Network Dependence JMLR 2024 Model Collapse Demystified: The Case of Regression NeurIPS 2024 On the Computational Complexity of Private High-dimensional Model Selection NeurIPS 2024 Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime ICLR 2024 Revisiting Differentially Private ReLU Regression NeurIPS 2024 Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024 The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024