Bayesian & Probabilistic

Bayesian Grammar Learning for Inverse Procedural Modeling CVPR 2013 Bayesian Hierarchical Community Discovery NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Bayesian inference as iterated random functions with applications to sequential inference in graphical models NeurIPS 2013 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 Nonparametric Hidden Semi-Markov Models JMLR 2013 Bayesian optimization explains human active search NeurIPS 2013 Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 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 Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013 Classifying With Confidence From Incomplete Information JMLR 2013 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Completeness Results for Lifted Variable Elimination AISTATS 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 Context-sensitive active sensing in humans NeurIPS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Dependent Normalized Random Measures ICML 2013 Diagonal Orthant Multinomial Probit Models AISTATS 2013 Differentially Private Learning with Kernels ICML 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013