Mathematics & Optimization

Using Combinatorial Optimization within Max-Product Belief Propagation NeurIPS 2006 Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006 Adaptive Online Prediction by Following the Perturbed Leader JMLR 2005 Auction-Based Multi-Robot Routing RSS 2005 Clustering with Bregman Divergences JMLR 2005 Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005 Dynamic Task Assignment in Robot Swarms RSS 2005 Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005 Expectation Consistent Approximate Inference JMLR 2005 Frames, Reproducing Kernels, Regularization and Learning JMLR 2005 Information Bottleneck for Gaussian Variables JMLR 2005 Kernel Methods for Measuring Independence JMLR 2005 Learning from Examples as an Inverse Problem JMLR 2005 Learning the Kernel Function via Regularization JMLR 2005 Learning the Kernel with Hyperkernels JMLR 2005 Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005 Maximum Margin Algorithms with Boolean Kernels JMLR 2005 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 Optimal design of robots RSS 2005 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005 Semigroup Kernels on Measures JMLR 2005 Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005