Optimization

Spectral Compressed Sensing via Structured Matrix Completion ICML 2013 Spectral Modeling and Relighting of Reflective-Fluorescent Scenes CVPR 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013 Stochastic Alternating Direction Method of Multipliers ICML 2013 Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013 Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Stochastic Simultaneous Optimistic Optimization ICML 2013 Structured Learning of Sum-of-Submodular Higher Order Energy Functions ICCV 2013 Structured Learning via Logistic Regression NeurIPS 2013 Structure Learning of Mixed Graphical Models AISTATS 2013 Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NeurIPS 2013 Submodular Salient Region Detection CVPR 2013 Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing ICML 2013 Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013 Super-resolution via Transform-Invariant Group-Sparse Regularization ICCV 2013 Supervised Descent Method and Its Applications to Face Alignment CVPR 2013 Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013 Supervised Semantic Gradient Extraction Using Linear-Time Optimization CVPR 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 SWIGS: A Swift Guided Sampling Method CVPR 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Texture Enhanced Image Denoising via Gradient Histogram Preservation CVPR 2013 That was fast! Speeding up NN search of high dimensional distributions. ICML 2013