Probabilistic Modeling

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 Proximal Graphical Event Models NeurIPS 2018 Randomized Prior Functions for Deep Reinforcement Learning NeurIPS 2018 Real-time Change Point Detection using On-line Topic Models COLING 2018 Reconstructing Neutral Speech from Tracheoesophageal Speech Interspeech 2018 Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018 Robust and Scalable Models of Microbiome Dynamics ICML 2018 Scalable approximate Bayesian inference for particle tracking data ICML 2018 Scalable Generalized Dynamic Topic Models AISTATS 2018 Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018 Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model COLING 2018 Solving M-Modes in Loopy Graphs Using Tree Decompositions PGM 2018 Sound Abstraction and Decomposition of Probabilistic Programs ICML 2018 Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018 Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018 State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models JMLR 2018 Stein Variational Gradient Descent as Moment Matching NeurIPS 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Structured Factored Inference for Probabilistic Programming AISTATS 2018 Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018