bayesian inference

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 Operator Variational Inference NeurIPS 2016 Priors for Speaker Counting and Diarization with AHC Interspeech 2016 Probabilistic Linear Multistep Methods NeurIPS 2016 Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016 Regime Aware Learning PGM 2016 Regret Analysis of the Finite-Horizon Gittins Index Strategy for Multi-Armed Bandits COLT 2016 Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics ICML 2016 Robust Sound Event Detection in Continuous Audio Environments Interspeech 2016 Sampling for Bayesian Program Learning NeurIPS 2016 Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling JMLR 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues JMLR 2016 Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016 Situated Language Understanding with Human-like and Visualization-Based Transparency RSS 2016 Slice Sampling on Hamiltonian Trajectories ICML 2016 Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NeurIPS 2016 Stochastic Gradient Geodesic MCMC Methods NeurIPS 2016 Stochastic Gradient MCMC with Stale Gradients NeurIPS 2016 Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NeurIPS 2016 Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016 String and Membrane Gaussian Processes JMLR 2016 The Nonparametric Kernel Bayes Smoother AISTATS 2016 The Parameterized Complexity of Approximate Inference in Bayesian Networks PGM 2016