compressed sensing

Phase Retrieval Under a Generative Prior NeurIPS 2018 Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression COLT 2018 Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018 Testing Sparsity over Known and Unknown Bases ICML 2018 The Generalization Error of Dictionary Learning with Moreau Envelopes ICML 2018 Thwarting Adversarial Examples: An L_0-Robust Sparse Fourier Transform NeurIPS 2018 Alternating minimization for dictionary learning with random initialization NeurIPS 2017 Binary and Multi-Bit Coding for Stable Random Projections AISTATS 2017 Compressed Sensing using Generative Models ICML 2017 Convolutional Phase Retrieval NeurIPS 2017 Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017 Near Optimal Sketching of Low-Rank Tensor Regression NeurIPS 2017 On Blackbox Backpropagation and Jacobian Sensing NeurIPS 2017 On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017 On The Projection Operator to A Three-view Cardinality Constrained Set ICML 2017 Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NeurIPS 2017 Robust Structured Estimation with Single-Index Models ICML 2017 Solving Most Systems of Random Quadratic Equations NeurIPS 2017 Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect JMLR 2017 Average-case hardness of RIP certification NeurIPS 2016 Fast recovery from a union of subspaces NeurIPS 2016 Learning Sparse Additive Models with Interactions in High Dimensions AISTATS 2016 Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices AISTATS 2016 One Scan 1-Bit Compressed Sensing AISTATS 2016 Sparse Support Recovery with Non-smooth Loss Functions NeurIPS 2016