Mathematics & Optimization

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 Fast Variational Mode-Seeking AISTATS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NeurIPS 2012 Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NeurIPS 2012 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 Fusion with Diffusion for Robust Visual Tracking NeurIPS 2012 Generic Methods for Optimization-Based Modeling AISTATS 2012 glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Graphlet decomposition of a weighted network AISTATS 2012 Hierarchical Motion Planning in Topological Representations RSS 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 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