Bayesian & Probabilistic

Learning Bounded Treewidth Bayesian Networks JMLR 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Load and Attentional Bayes NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 MAS: a multiplicative approximation scheme for probabilistic inference NeurIPS 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Mixed Membership Stochastic Blockmodels JMLR 2008 Modeling human function learning with Gaussian processes NeurIPS 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Modeling the effects of memory on human online sentence processing with particle filters NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Multi-Agent Filtering with Infinitely Nested Beliefs NeurIPS 2008 Multiscale Random Fields with Application to Contour Grouping NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NeurIPS 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Non-stationary dynamic Bayesian networks NeurIPS 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 Partially Observed Maximum Entropy Discrimination Markov Networks NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Probabilistic detection of short events, with application to critical care monitoring NeurIPS 2008 Probabilistic Models of Object Geometry for Grasp Planning RSS 2008