Bayesian Inference

Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 Chasing Ghosts: Instruction Following as Bayesian State Tracking NeurIPS 2019 Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models Interspeech 2019 Conditional Network Embeddings ICLR 2019 Debiased Bayesian inference for average treatment effects NeurIPS 2019 Doubly Semi-Implicit Variational Inference AISTATS 2019 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NeurIPS 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019 GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019 Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019 Improving Quadrature for Constrained Integrands AISTATS 2019 Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning NeurIPS 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior AAAI 2019 Meta Learning with Relational Information for Short Sequences NeurIPS 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019 One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019 Parameter elimination in particle Gibbs sampling NeurIPS 2019 Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning UAI 2019 Predicate Exchange: Inference with Declarative Knowledge ICML 2019 Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019 Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions NeurIPS 2019 Quantifying Uncertainties in Natural Language Processing Tasks AAAI 2019