conftrace_

sparse linear regression

49 papers

Explore in graph

Also known as

SLR

Co-occurring keywords

sample complexity (1169) sparse regression (175) support recovery (43) high-dimensional statistics (145) feature selection (649) online learning (1777) compressed sensing (201) differential privacy (1016) gaussian graphical model (106) sublinear regret (88)

Papers

Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
Mutli-Armed Bandits with Network Interference NIPS 2024
Recovery Guarantees for Distributed-OMP AISTATS 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024
Truthful High Dimensional Sparse Linear Regression NIPS 2024
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 2024
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NIPS 2024
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression COLT 2024
skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024
Fast Excess Risk Rates via Offset Rademacher Complexity ICML 2023
Optimal Sketching Bounds for Sparse Linear Regression AISTATS 2023
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression COLT 2023
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023
Feature Adaptation for Sparse Linear Regression NIPS 2023
Distributed Sparse Regression via Penalization JMLR 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs NIPS 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Hardness and Algorithms for Robust and Sparse Optimization ICML 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics NIPS 2022
Robust Testing in High-Dimensional Sparse Models NIPS 2022
Efficient Statistics for Sparse Graphical Models from Truncated Samples AISTATS 2021
On Learning Continuous Pairwise Markov Random Fields AISTATS 2021