sparse linear regression

Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control JMLR 2026 A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions AISTATS 2025 Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders ICML 2025 Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025 Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025 A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 2024 Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression COLT 2024 How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NeurIPS 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ICLR 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 Mutli-Armed Bandits with Network Interference NeurIPS 2024 Recovery Guarantees for Distributed-OMP AISTATS 2024 skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024 Truthful High Dimensional Sparse Linear Regression NeurIPS 2024 Distributed Sparse Regression via Penalization JMLR 2023 Fast Excess Risk Rates via Offset Rademacher Complexity ICML 2023 Feature Adaptation for Sparse Linear Regression NeurIPS 2023 Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023 Implicit Regularization for Group Sparsity ICLR 2023 Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023 Optimal Sketching Bounds for Sparse Linear Regression AISTATS 2023 Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression COLT 2023 Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022 Hardness and Algorithms for Robust and Sparse Optimization ICML 2022 Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs NeurIPS 2022