Mathematics

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields AISTATS 2012 Human Gesture Recognition on Product Manifolds JMLR 2012 Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012 Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 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 High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 Lifted Linear Programming AISTATS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Low rank continuous-space graphical models AISTATS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimax Manifold Estimation JMLR 2012 Minimax rates for homology inference AISTATS 2012 Mixability in Statistical Learning NeurIPS 2012 Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012