Mathematics & Optimization

Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 Interpreting prediction markets: a stochastic approach NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012 Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing AISTATS 2012 Kernel Hyperalignment NeurIPS 2012 Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems COLT 2012 L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012 Large Scale Distributed Deep Networks NeurIPS 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning DNF Expressions from Fourier Spectrum COLT 2012 Learning Fourier Sparse Set Functions AISTATS 2012 Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Learning Valuation Functions COLT 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Lifted Linear Programming AISTATS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012