Sparse Optimization

Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces CVPR 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Keep It Simple And Sparse: Real-Time Action Recognition JMLR 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Learning Structured Low-Rank Representations for Image Classification CVPR 2013 Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NeurIPS 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NeurIPS 2013 Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person ICCV 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Recovery of Sparse Probability Measures via Convex Programming NeurIPS 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Sparsistency of the Edge Lasso over Graphs AISTATS 2012 Value Pursuit Iteration NeurIPS 2012 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011