Mathematics & Optimization

Stability of Multi-Task Kernel Regression Algorithms ACML 2013 Stationary-Sparse Causality Network Learning JMLR 2013 Statistical Active Learning Algorithms NeurIPS 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Stochastic Convex Optimization with Multiple Objectives NeurIPS 2013 Stochastic Deconvolution CVPR 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 Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 Stochastic Optimization of PCA with Capped MSG NeurIPS 2013 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013 Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings ICML 2013 Structured Learning of Sum-of-Submodular Higher Order Energy Functions ICCV 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 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 Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013 Templateless Quasi-rigid Shape Modeling with Implicit Loop-Closure CVPR 2013