Bayesian Learning

Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Hierarchical Fisher Kernels for Longitudinal Data NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 The Infinite Factorial Hidden Markov Model NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 The Mondrian Process NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A New View of Automatic Relevance Determination NeurIPS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Bayesian Co-Training NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 "Ideal Parent” Structure Learning for Continuous Variable Bayesian Networks JMLR 2007 Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Integrating Naïve Bayes and FOIL JMLR 2007