Optimization

Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Relative Volume Constraints for Single View 3D Reconstruction CVPR 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013 Revisiting the Nystrom method for improved large-scale machine learning ICML 2013 Riemannian Similarity Learning ICML 2013 Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences CVPR 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Robust Estimation of Nonrigid Transformation for Point Set Registration CVPR 2013 Robust Feature Matching with Alternate Hough and Inverted Hough Transforms CVPR 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Robust Matrix Factorization with Unknown Noise ICCV 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Robust Region Grouping via Internal Patch Statistics CVPR 2013 Robust Spatial Filtering with Beta Divergence NeurIPS 2013 Robust Subspace Clustering via Half-Quadratic Minimization ICCV 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013 Rolling Shutter Camera Calibration CVPR 2013 Rounding Methods for Discrete Linear Classification ICML 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013 Sample-Specific Late Fusion for Visual Category Recognition CVPR 2013 Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner ICML 2013