Probability

Non-parametric Regression Between Manifolds NeurIPS 2008 On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix JMLR 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 Rademacher Complexity Bounds for Non-I.I.D. Processes NeurIPS 2008 A Probabilistic Approach to Language Change NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Distances between Data Sets Based on Summary Statistics JMLR 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 Modeling Natural Sounds with Modulation Cascade Processes NeurIPS 2007 The Distribution Family of Similarity Distances NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 Variational Inference for Diffusion Processes NeurIPS 2007 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Nonparametric Quantile Estimation JMLR 2006 Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005 Expectation Consistent Approximate Inference JMLR 2005 Kernel Methods for Measuring Independence JMLR 2005 Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005 PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004 Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet JMLR 2003