Bayesian & Probabilistic

Bernoulli Race Particle Filters AISTATS 2019 BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model NAACL 2019 Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019 Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 Bottleneck Potentials in Markov Random Fields ICCV 2019 Calibrating Deep Convolutional Gaussian Processes AISTATS 2019 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019 Chasing Ghosts: Instruction Following as Bayesian State Tracking NeurIPS 2019 Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components NeurIPS 2019 Combinatorial Bayesian Optimization using the Graph Cartesian Product NeurIPS 2019 Combining Generative and Discriminative Models for Hybrid Inference NeurIPS 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models Interspeech 2019 Compiling Bayesian Network Classifiers into Decision Graphs AAAI 2019 Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019 Conditional Expectation Propagation UAI 2019 Conditional Independence in Testing Bayesian Networks ICML 2019 Conditional Network Embeddings ICLR 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Cost Effective Active Search NeurIPS 2019 Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019 Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019 Covariate-Powered Empirical Bayes Estimation NeurIPS 2019 Cross-sectional Learning of Extremal Dependence among Financial Assets NeurIPS 2019 Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms NeurIPS 2019