Mathematics

Mode Estimation for High Dimensional Discrete Tree Graphical Models NeurIPS 2014 Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014 Multiresolution Matrix Factorization ICML 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Multiscale Topological Trajectory Classification with Persistent Homology RSS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014 Nonparametric estimation and testing of exchangeable graph models AISTATS 2014 Nonparametric Estimation of Renyi Divergence and Friends ICML 2014 Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD CVPR 2014 Object Partitioning using Local Convexity CVPR 2014 Occluding Contours for Multi-View Stereo CVPR 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014 On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014 On Projective Reconstruction In Arbitrary Dimensions CVPR 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014 On the Quotient Representation for the Essential Manifold CVPR 2014 Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014 Optimal prior-dependent neural population codes under shared input noise NeurIPS 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014