Bayesian Inference

On Bayesian Network Inference with Simple Propagation PGM 2016 On Bayes Risk Lower Bounds JMLR 2016 On collapsed representation of hierarchical Completely Random Measures ICML 2016 Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016 Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016 Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NeurIPS 2016 Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016 On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016 On the Issue of Calibration in DNN-Based Speaker Recognition Systems Interspeech 2016 On the properties of variational approximations of Gibbs posteriors JMLR 2016 Operator Variational Inference NeurIPS 2016 Optimality of Belief Propagation for Crowdsourced Classification ICML 2016 Optimistic Gittins Indices NeurIPS 2016 Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016 PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016 PAC-Bayesian Theory Meets Bayesian Inference NeurIPS 2016 Parallel Markov Chain Monte Carlo via Spectral Clustering AISTATS 2016 Parameter Learning for Log-supermodular Distributions NeurIPS 2016 Partition Functions from Rao-Blackwellized Tempered Sampling ICML 2016 Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction CVPR 2016 Poisson-Gamma dynamical systems NeurIPS 2016 Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016 Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016 Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016 Priors for Speaker Counting and Diarization with AHC Interspeech 2016