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Bayesian Inference

518 directly classified papers

Papers per year

Papers

Debiased Bayesian inference for average treatment effects NIPS 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
A Bayesian Perspective on the Deep Image Prior CVPR 2019
One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019
Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019
GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019
Stochastic Optimal Control as Approximate Input Inference CORL 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression CORL 2019
That’s Mine! Learning Ownership Relations and Norms for Robots AAAI 2019
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap ICML 2019
Automatic Posterior Transformation for Likelihood-Free Inference ICML 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019
Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019
Predicate Exchange: Inference with Declarative Knowledge ICML 2019
Adding Constraints to Bayesian Inverse Problems AAAI 2019
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior AAAI 2019
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models INTERSPEECH 2019
Parameter elimination in particle Gibbs sampling NIPS 2019
Improving Quadrature for Constrained Integrands AISTATS 2019
Learning Hawkes Processes from a handful of events NIPS 2019
Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019
A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles AAAI 2019
Social Media based Simulation Models for Understanding Disease Dynamics IJCAI 2018
Multivariate Bayesian Structural Time Series Model JMLR 2018