sparse recovery

Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime ICML 2022 Learning the Structure of Large Networked Systems Obeying Conservation Laws NeurIPS 2022 Manifold Coordinates with Physical Meaning JMLR 2022 Provable Learning-based Algorithm For Sparse Recovery ICLR 2022 Robust Training under Label Noise by Over-parameterization ICML 2022 A Design Space Study for LISTA and Beyond ICLR 2021 A Nullspace Property for Subspace-Preserving Recovery ICML 2021 Efficient Wideband Spectrum Sensing Using MEMS Acoustic Resonators NSDI 2021 Group Delay Based Re-Weighted Sparse Recovery Algorithms for Robust and High-Resolution Source Separation in DOA Framework Interspeech 2021 Homomorphic Sensing: Sparsity and Noise ICML 2021 Hyperparameter Tuning is All You Need for LISTA NeurIPS 2021 Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate NeurIPS 2021 Iterative regularization for convex regularizers AISTATS 2021 On learning sparse vectors from mixture of responses NeurIPS 2021 All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 APKeep: Realtime Verification for Real Networks NSDI 2020 Comb Decoding towards Collision-Free WiFi NSDI 2020 Dual Iterative Hard Thresholding JMLR 2020 Limits on Testing Structural Changes in Ising Models NeurIPS 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020 On the Power of Compressed Sensing with Generative Models ICML 2020 Reducing Adversarially Robust Learning to Non-Robust PAC Learning NeurIPS 2020 Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors ICML 2020 Tensor Completion Made Practical NeurIPS 2020 Truncated Linear Regression in High Dimensions NeurIPS 2020