l1 regularization

Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NeurIPS 2017 A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017 Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training IJCAI 2017 A Screening Rule for l1-Regularized Ising Model Estimation NeurIPS 2017 On the Learnability of Fully-Connected Neural Networks AISTATS 2017 StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017 A Sparse Spherical Harmonic-Based Model in Subbands for Head-Related Transfer Functions Interspeech 2016 Experimental Design on a Budget for Sparse Linear Models and Applications ICML 2016 Feature-distributed sparse regression: a screen-and-clean approach NeurIPS 2016 L1-regularized Neural Networks are Improperly Learnable in Polynomial Time ICML 2016 Learning Succinct Models: Pipelined Compression with L1-Regularization, Hashing, Elias-Fano Indices, and Quantization COLING 2016 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016 Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016 Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016 Sparse Support Recovery with Non-smooth Loss Functions NeurIPS 2016 Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016 A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015 A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015 Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015 GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 2015 Nearly Optimal Private LASSO NeurIPS 2015 Supervised Learning for Dynamical System Learning NeurIPS 2015 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014