support recovery

Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Robust Score Matching AISTATS 2025 Simplex Constrained Sparse Optimization via Tail Screening JMLR 2025 Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery ICML 2024 Recovery Guarantees for Distributed-OMP AISTATS 2024 Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm ICML 2024 Support Recovery in Sparse PCA with General Missing Data UAI 2024 Average case analysis of Lasso under ultra sparse conditions AISTATS 2023 Learning Sparse Group Models Through Boolean Relaxation ICLR 2023 Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression COLT 2023 Byzantine-tolerant distributed multiclass sparse linear discriminant analysis UAI 2022 Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022 Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation COLT 2022 On Learning Mixture Models with Sparse Parameters AISTATS 2022 Support Recovery in Sparse PCA with Incomplete Data NeurIPS 2022 Efficient Statistics for Sparse Graphical Models from Truncated Samples AISTATS 2021 Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021 Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021 On learning sparse vectors from mixture of responses NeurIPS 2021 Support Recovery of Sparse Signals from a Mixture of Linear Measurements NeurIPS 2021 The Sample Complexity of Meta Sparse Regression AISTATS 2021 Distributed High-dimensional Regression Under a Quantile Loss Function JMLR 2020 Information Theoretic Optimal Learning of Gaussian Graphical Models COLT 2020 One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020 Interplay of minimax estimation and minimax support recovery under sparsity ALT 2019