support recovery

Superset Technique for Approximate Recovery in One-Bit Compressed Sensing NeurIPS 2019 Support Localization and the Fisher Metric for off-the-grid Sparse Regularization AISTATS 2019 Trimming the ℓ_1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning ICML 2019 Combinatorial Penalties: Which structures are preserved by convex relaxations? AISTATS 2018 Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NeurIPS 2018 Generalized Pseudolikelihood Methods for Inverse Covariance Estimation AISTATS 2017 On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017 Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NeurIPS 2017 Exact Recovery of Hard Thresholding Pursuit NeurIPS 2016 L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 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 One-bit Compressed Sensing with the k-Support Norm AISTATS 2015 Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing ICML 2015 A Unified Framework for Consistency of Regularized Loss Minimizers ICML 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Sparse PCA with Oracle Property NeurIPS 2014 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013 One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013 Robust Sparse Regression under Adversarial Corruption ICML 2013 Robust Lasso with missing and grossly corrupted observations NeurIPS 2011 A Dirty Model for Multi-task Learning NeurIPS 2010