Sparse Optimization

Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020 Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior EMNLP 2020 Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm EMNLP 2020 Stochastic Sparse Subspace Clustering CVPR 2020 The Generalized Lasso with Nonlinear Observations and Generative Priors NeurIPS 2020 The Strong Screening Rule for SLOPE NeurIPS 2020 Thunder: a Fast Coordinate Selection Solver for Sparse Learning NeurIPS 2020 Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 Doubly-Robust Lasso Bandit NeurIPS 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NeurIPS 2019 Fast Sparse Group Lasso NeurIPS 2019 Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions JMLR 2019 Learning Sparse Distributions using Iterative Hard Thresholding NeurIPS 2019 RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace AAAI 2019 Sparse High-Dimensional Isotonic Regression NeurIPS 2019 Subgradient Descent Learns Orthogonal Dictionaries ICLR 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 Construction of Incoherent Dictionaries via Direct Babel Function Minimization ACML 2018 Efficient Stochastic Gradient Hard Thresholding NeurIPS 2018 Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity NeurIPS 2018 High Dimensional Linear Regression using Lattice Basis Reduction NeurIPS 2018 Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames NeurIPS 2018 Orthogonal Matching Pursuit for Text Classification EMNLP 2018 Proximal SCOPE for Distributed Sparse Learning NeurIPS 2018 Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NeurIPS 2018