Bayesian & Probabilistic

Objective and efficient inference for couplings in neuronal networks NeurIPS 2018 Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks NeurIPS 2018 Optimality of Approximate Inference Algorithms on Stable Instances AISTATS 2018 PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments CoRL 2018 Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018 Parallel Bayesian Network Structure Learning ICML 2018 Parameterized hardness of active inference PGM 2018 Particle Filter Networks with Application to Visual Localization CoRL 2018 Pattern-Based Behavioural Analysis on Neurosurgical Simulation Data MLHC 2018 Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression JMLR 2018 PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields ACL 2018 Point process latent variable models of larval zebrafish behavior NeurIPS 2018 pomegranate: Fast and Flexible Probabilistic Modeling in Python JMLR 2018 Possibilistic ASP Base Revision by Certain Input IJCAI 2018 Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018 Predictive Approximate Bayesian Computation via Saddle Points NeurIPS 2018 Predictive Uncertainty Estimation via Prior Networks NeurIPS 2018 Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018 Probabilistic bipolar abstract argumentation frameworks: complexity results IJCAI 2018 Probabilistic Boolean Tensor Decomposition ICML 2018 Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ACL 2018 Probabilistic Machine Learning: Models, Algorithms and a Programming Library IJCAI 2018 Probabilistic Matrix Factorization for Automated Machine Learning NeurIPS 2018 Probabilistic Model-Agnostic Meta-Learning NeurIPS 2018 Probabilistic preference learning with the Mallows rank model JMLR 2018