 On the Efficiency of ERM in Feature LearningNeural Information Processing Systems (NeurIPS), 2024 |
 Feature Adaptation for Sparse Linear RegressionNeural Information Processing Systems (NeurIPS), 2023 |
 Semi-Random Sparse Recovery in Nearly-Linear TimeAnnual Conference Computational Learning Theory (COLT), 2022 |
 Grouped Variable Selection with Discrete Optimization: Computational and
Statistical PerspectivesAnnals of Statistics (Ann. Stat.), 2021 |
 Accuracy-Memory Tradeoffs and Phase Transitions in Belief PropagationAnnual Conference Computational Learning Theory (COLT), 2019 |
 Sparse PCA from Sparse Linear RegressionNeural Information Processing Systems (NeurIPS), 2018 |
 Between hard and soft thresholding: optimal iterative thresholding
algorithmsInformation and Inference A Journal of the IMA (JIII), 2018 |
 Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is
lowOperational Research (OR), 2017 |
 On Bayes Risk Lower BoundsJournal of machine learning research (JMLR), 2014 |
