Mathematics & Optimization

A Consistent Method for Graph Based Anomaly Localization AISTATS 2015 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NeurIPS 2015 A Convex Optimization Approach to Robust Fundamental Matrix Estimation CVPR 2015 A Convex Optimization Framework for Bi-Clustering ICML 2015 Active Pointillistic Pattern Search AISTATS 2015 AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models JMLR 2015 Adaptive Belief Propagation ICML 2015 Adaptive Online Learning NeurIPS 2015 Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing NeurIPS 2015 Adaptive Recovery of Signals by Convex Optimization COLT 2015 Adaptive Stochastic Alternating Direction Method of Multipliers ICML 2015 Adaptive Stochastic Optimization: From Sets to Paths NeurIPS 2015 Adaptive Strategy for Stratified Monte Carlo Sampling JMLR 2015 Adding vs. Averaging in Distributed Primal-Dual Optimization ICML 2015 Addressing Constraint Robustness to Torque Errors in Task-Space Inverse Dynamics RSS 2015 A Dual Augmented Block Minimization Framework for Learning with Limited Memory NeurIPS 2015 A Fast Algorithm for Elastic Shape Distances Between Closed Planar Curves CVPR 2015 A Fixed Viewpoint Approach for Dense Reconstruction of Transparent Objects CVPR 2015 A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching CVPR 2015 A General Analysis of the Convergence of ADMM ICML 2015 A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice NeurIPS 2015 Agnostic Learning of Disjunctions on Symmetric Distributions JMLR 2015 A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015 A hybrid sampler for Poisson-Kingman mixture models NeurIPS 2015 Algorithms for Lipschitz Learning on Graphs COLT 2015