Mathematics & Optimization

Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Robust Regression on MapReduce ICML 2013 Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NeurIPS 2013 Robust Spatial Filtering with Beta Divergence NeurIPS 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013 Robust Tucker Tensor Decomposition for Effective Image Representation ICCV 2013 Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem CVPR 2013 Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination CVPR 2013 Rounding Methods for Discrete Linear Classification ICML 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013 Saliency Detection via Absorbing Markov Chain ICCV 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013 Scalable Simple Random Sampling and Stratified Sampling ICML 2013 Scale Invariant Conditional Dependence Measures ICML 2013 Scaling the Indian Buffet Process via Submodular Maximization ICML 2013 Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013 Semi-Supervised Learning Using Greedy Max-Cut JMLR 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition ICCV 2013 Shading-Based Shape Refinement of RGB-D Images CVPR 2013 Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error CVPR 2013 Sharp analysis of low-rank kernel matrix approximations COLT 2013