Mathematics & Optimization

Variational Inference for Diffusion Processes NeurIPS 2007 Variational inference for Markov jump processes NeurIPS 2007 A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NeurIPS 2006 Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006 A Complexity-Distortion Approach to Joint Pattern Alignment NeurIPS 2006 Active learning for misspecified generalized linear models NeurIPS 2006 Adaptive Dynamics with Efficient Contact Handling for Articulated Robots RSS 2006 Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NeurIPS 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 An Approach to Bounded Rationality NeurIPS 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 An Information Theoretic Framework for Eukaryotic Gradient Sensing NeurIPS 2006 Approximate inference using planar graph decomposition NeurIPS 2006 A recipe for optimizing a time-histogram NeurIPS 2006 A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 A Small World Threshold for Economic Network Formation NeurIPS 2006 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 Balanced Graph Matching NeurIPS 2006 Blind source separation for over-determined delayed mixtures NeurIPS 2006 Branch and Bound for Semi-Supervised Support Vector Machines NeurIPS 2006 Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 Computing Smooth Feedback Plans Over Cylindrical Algebraic Decompositions RSS 2006 Conditional mean field NeurIPS 2006 Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NeurIPS 2006