Mathematics & Optimization

Multi-Scale Spectral Decomposition of Massive Graphs NeurIPS 2014 Multiscale Topological Trajectory Classification with Persistent Homology RSS 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Multivariate Regression with Calibration NeurIPS 2014 Natural Evolution Strategies JMLR 2014 (Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014 Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Near-Optimal Herding COLT 2014 Near-Optimal Joint Object Matching via Convex Relaxation ICML 2014 New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014 New Bounds on Compressive Linear Least Squares Regression AISTATS 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 Node-Based Learning of Multiple Gaussian Graphical Models JMLR 2014 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Non-convex Robust PCA NeurIPS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 Nonparametric estimation and testing of exchangeable graph models AISTATS 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 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 Nuclear Norm Minimization via Active Subspace Selection ICML 2014