Bayesian Inference

Bayesian Grammar Learning for Inverse Procedural Modeling CVPR 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 for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation ICCV 2013 Bayesian learning of joint distributions of objects AISTATS 2013 Bayesian Learning of Recursively Factored Environments ICML 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 Robust Matrix Factorization for Image and Video Processing ICCV 2013 Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013 Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition CVPR 2013 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Completeness Results for Lifted Variable Elimination AISTATS 2013 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013 Context-sensitive active sensing in humans NeurIPS 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Deep Gaussian Processes AISTATS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Dependent Normalized Random Measures ICML 2013 Diagonal Orthant Multinomial Probit Models AISTATS 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013