Bayesian Inference

Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bayesian optimization explains human active search NeurIPS 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition CVPR 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Context-sensitive active sensing in humans NeurIPS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Efficient Online Inference for Bayesian Nonparametric Relational Models NeurIPS 2013 Exploiting the Power of Stereo Confidences CVPR 2013 Factorized Asymptotic Bayesian Inference for Latent Feature Models NeurIPS 2013 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Generalized Random Utility Models with Multiple Types NeurIPS 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 Latent Data Association: Bayesian Model Selection for Multi-target Tracking ICCV 2013 Learning and using language via recursive pragmatic reasoning about other agents NeurIPS 2013 Learning Stochastic Inverses NeurIPS 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013