Mathematics

Shading-Based Shape Refinement of RGB-D Images CVPR 2013 Sign Cauchy Projections and Chi-Square Kernel NeurIPS 2013 Similarity-based Clustering by Left-Stochastic Matrix Factorization JMLR 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013 Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 Smooth Operators ICML 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Solving the multi-way matching problem by permutation synchronization NeurIPS 2013 Space-Time Tradeoffs in Photo Sequencing ICCV 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013 Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Stability of Multi-Task Kernel Regression Algorithms ACML 2013 Stationary-Sparse Causality Network Learning JMLR 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Structure Learning of Mixed Graphical Models AISTATS 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 Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013 Templateless Quasi-rigid Shape Modeling with Implicit Loop-Closure CVPR 2013