Mathematics & Optimization

Characteristic Kernels on Groups and Semigroups NeurIPS 2008 Characterizing neural dependencies with copula models NeurIPS 2008 Clustered Multi-Task Learning: A Convex Formulation NeurIPS 2008 Clustering via LP-based Stabilities NeurIPS 2008 Clusters and Coarse Partitions in LP Relaxations NeurIPS 2008 Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines JMLR 2008 Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NeurIPS 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Cyclizing Clusters via Zeta Function of a Graph NeurIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Deflation Methods for Sparse PCA NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance NeurIPS 2008 Efficient Exact Inference in Planar Ising Models NeurIPS 2008 Empirical performance maximization for linear rank statistics NeurIPS 2008 Estimating Robust Query Models with Convex Optimization NeurIPS 2008 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008 Estimating vector fields using sparse basis field expansions NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 Fast Rates for Regularized Objectives NeurIPS 2008