Bayesian Inference

Multivariate Bayesian Structural Time Series Model JMLR 2018 Naive Bayesian Classifiers with Extreme Probability Features PGM 2018 PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments CoRL 2018 Parameterized hardness of active inference PGM 2018 Randomized Prior Functions for Deep Reinforcement Learning NeurIPS 2018 Rating Distributions and Bayesian Inference: Enhancing Cognitive Models of Spatial Language Use ACL 2018 Same-Decision Probability: Threshold Robustness and Application to Explanation PGM 2018 Simple Propagation with Arc-Reversal in Bayesian Networks PGM 2018 Social Media based Simulation Models for Understanding Disease Dynamics IJCAI 2018 Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors ICML 2018 Structure Learning for Bayesian Networks over Labeled DAGs PGM 2018 Variational Knowledge Graph Reasoning NAACL 2018 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017 A Probabilistic Generative Grammar for Semantic Parsing CoNLL 2017 A Unifying Framework for Probabilistic Belief Revision IJCAI 2017 Bayesian Compression for Deep Learning NeurIPS 2017 Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NeurIPS 2017 Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction CoRL 2017 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017 CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017 Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network CVPR 2017 Efficient Inference for Untied MLNs IJCAI 2017 Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings EACL 2017 Expectation Propagation for t-Exponential Family Using q-Algebra NeurIPS 2017