Convex Optimization

Multiclass Total Variation Clustering NeurIPS 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013 O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013 On Decomposing the Proximal Map NeurIPS 2013 On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization NeurIPS 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 Provable Subspace Clustering: When LRR meets SSC NeurIPS 2013 q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NeurIPS 2013 Quantile Regression for Large-scale Applications ICML 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Relative Volume Constraints for Single View 3D Reconstruction CVPR 2013 Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Robust Regression on MapReduce ICML 2013 Simultaneous Super-Resolution of Depth and Images Using a Single Camera CVPR 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Sparse projections onto the simplex ICML 2013 Stochastic Convex Optimization with Multiple Objectives NeurIPS 2013 Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 The Episolar Constraint: Monocular Shape from Shadow Correspondence CVPR 2013