Probabilistic Modeling

A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019 Approximate Bayesian Inference in Spatial Environments RSS 2019 A Probabilistic Generative Model of Linguistic Typology NAACL 2019 A Probabilistic Logic for Resource-Bounded Multi-Agent Systems IJCAI 2019 A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM MLHC 2019 Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019 A Unified Bayesian Source Modelling for Determined Blind Source Separation Interspeech 2019 AutoSense Model for Word Sense Induction AAAI 2019 A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019 A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning ICML 2019 Band-Limited Gaussian Processes: The Sinc Kernel NeurIPS 2019 Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement ICCV 2019 Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019 Bayesian Posterior Approximation via Greedy Particle Optimization AAAI 2019 Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI 2019 Bernoulli Race Particle Filters AISTATS 2019 BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model NAACL 2019 Bottleneck Potentials in Markov Random Fields ICCV 2019 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019 Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components NeurIPS 2019 Combining Generative and Discriminative Models for Hybrid Inference NeurIPS 2019 Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019 Conditional Expectation Propagation UAI 2019 Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019 Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019