Bayesian Learning

Batch Bayesian Optimization via Simulation Matching NeurIPS 2010 Bayesian Action-Graph Games NeurIPS 2010 Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010 Bayesian variable order Markov models AISTATS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010 Copula Bayesian Networks NeurIPS 2010 Copula Processes NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010 Elliptical slice sampling AISTATS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 Gaussian processes with monotonicity information AISTATS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 Group Sparse Coding with a Laplacian Scale Mixture Prior NeurIPS 2010 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Implicit Differentiation by Perturbation NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NeurIPS 2010 Importance Sampling for Continuous Time Bayesian Networks JMLR 2010 Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NeurIPS 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010