Bayesian & Probabilistic

Turing: A Language for Flexible Probabilistic Inference AISTATS 2018 Uncertainty-aware generative models for inferring document class prevalence EMNLP 2018 Unifying DAGs and UGs PGM 2018 Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound NeurIPS 2018 Variational Bayesian Monte Carlo NeurIPS 2018 Variational Continual Learning ICLR 2018 Variational Fourier Features for Gaussian Processes JMLR 2018 Variational Inference and Deep Generative Models ACL 2018 Variational inference for the multi-armed contextual bandit AISTATS 2018 Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NeurIPS 2018 Variational Knowledge Graph Reasoning NAACL 2018 Variational Learning on Aggregate Outputs with Gaussian Processes NeurIPS 2018 Variational Message Passing with Structured Inference Networks ICLR 2018 Wasserstein Variational Inference NeurIPS 2018 Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018 Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018 A Bayesian Framework for Learning Rule Sets for Interpretable Classification JMLR 2017 A Birth-Death Process for Feature Allocation ICML 2017 A Computational Model of Human Preferences for Pronoun Resolution EACL 2017 A Correlated Topic Model Using Word Embeddings IJCAI 2017 Adaptive Bayesian Sampling with Monte Carlo EM NeurIPS 2017 A Density-based Nonparametric Model for Online Event Discovery from the Social Media Data IJCAI 2017 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NeurIPS 2017