Probability

The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 The Gaussian Process Density Sampler NeurIPS 2008 The Mondrian Process NeurIPS 2008 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NeurIPS 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NeurIPS 2007 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 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006 Uncertainty, phase and oscillatory hippocampal recall NeurIPS 2006 Statistical Dynamics of On-line Independent Component Analysis JMLR 2003