sparse learning

Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018 Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion IJCAI 2017 Efficient Distributed Learning with Sparsity ICML 2017 On Perturbed Proximal Gradient Algorithms JMLR 2017 On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning NeurIPS 2017 On The Projection Operator to A Three-view Cardinality Constrained Set ICML 2017 Parametric Simplex Method for Sparse Learning NeurIPS 2017 Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction ICML 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016 Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016 On the Statistical Limits of Convex Relaxations ICML 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016 Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes JMLR 2016 Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning ICML 2016 A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 Joint Patch and Multi-Label Learning for Facial Action Unit Detection CVPR 2015 Learning Sparse Low-Threshold Linear Classifiers JMLR 2015 Accelerated Mini-batch Randomized Block Coordinate Descent Method NeurIPS 2014 Interpretable Sparse High-Order Boltzmann Machines AISTATS 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014 Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014