Mathematics

Complexity of Bethe Approximation AISTATS 2012 Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection JMLR 2012 Consistent Model Selection Criteria on High Dimensions JMLR 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012 Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012 Divergences and Risks for Multiclass Experiments COLT 2012 Efficiently finding optimal winding-constrained loops in the plane RSS 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso JMLR 2012 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Factoring nonnegative matrices with linear programs NeurIPS 2012 Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012 Fast Resampling Weighted v-Statistics NeurIPS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Fusion with Diffusion for Robust Visual Tracking NeurIPS 2012 Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012 Graphlet decomposition of a weighted network AISTATS 2012 High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion JMLR 2012 High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012