Bayesian & Probabilistic

Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010 Bayesian variable order Markov models AISTATS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010 Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning 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 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Efficient Relational Learning with Hidden Variable Detection NeurIPS 2010 Elliptical slice sampling AISTATS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010