sparse recovery

Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract) COLT 2026 Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories UAI 2026 On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery ICLR 2025 Physics-Informed Deep Learning and Compressive Collocation for High-Dimensional Diffusion-Reaction Equations: Practical Existence Theory and Numerics JMLR 2025 Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NeurIPS 2024 Block Sparse Bayesian Learning: A Diversified Scheme NeurIPS 2024 Fast White-Box Adversarial Streaming Without a Random Oracle ICML 2024 Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) NeurIPS 2024 Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024 Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms ICLR 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks NeurIPS 2024 Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024 Sparsistency for inverse optimal transport ICLR 2024 The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information NeurIPS 2024 A Unified Framework for Soft Threshold Pruning ICLR 2023 Generalization and Estimation Error Bounds for Model-based Neural Networks ICLR 2023 Improved Algorithms for White-Box Adversarial Streams ICML 2023 Learning Preference Models with Sparse Interactions of Criteria IJCAI 2023 Optimal Sparse Recovery with Decision Stumps AAAI 2023 Robust Methods for High-Dimensional Linear Learning JMLR 2023 Semi-Random Sparse Recovery in Nearly-Linear Time COLT 2023 Sharp thresholds in inference of planted subgraphs COLT 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Generalized Group Testing AISTATS 2022