posterior inference

Integrated Non-Factorized Variational Inference NeurIPS 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Top-down particle filtering for Bayesian decision trees ICML 2013 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Fast interior-point inference in high-dimensional sparse, penalized state-space models AISTATS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Scalable Inference of Overlapping Communities NeurIPS 2012 Gaussian process modulated renewal processes NeurIPS 2011 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010 Efficient Sampling for Gaussian Process Inference using Control Variables NeurIPS 2008 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008 Variational inference for Markov jump processes NeurIPS 2007