Bayesian Inference

Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NeurIPS 2017 Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 Noise-Blind Image Deblurring CVPR 2017 Optimal Feature Selection for Decision Robustness in Bayesian Networks IJCAI 2017 Plato's Cave in the Dempster-Shafer land--the Link between Pignistic and Plausibility Transformations IJCAI 2017 Probabilistic Inference in Hybrid Domains IJCAI 2017 Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017 Unsupervised Text Segmentation Based on Native Language Characteristics ACL 2017 Weighted Model Integration with Orthogonal Transformations IJCAI 2017 A Bayesian method for reducing bias in neural representational similarity analysis NeurIPS 2016 A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016 An equivalence between high dimensional Bayes optimal inference and M-estimation NeurIPS 2016 A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics NeurIPS 2016 Answer-Type Prediction for Visual Question Answering CVPR 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 A Probabilistic Programming Approach To Probabilistic Data Analysis NeurIPS 2016 Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NeurIPS 2016 Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016 Bayesian Networks: a Combined Tuning Heuristic PGM 2016 Bayesian Networks for Variable Groups PGM 2016 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Bayesian Torrent Classification by File Name and Size Only PGM 2016 Black-Box Alpha Divergence Minimization ICML 2016