| Bayesian Models of Data Streams with Hierarchical Power Priors | Jul 7, 2017 | Computational EfficiencyVariational Inference | —Unverified | 0 | 0 |
| Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution | Sep 6, 2022 | Bayesian InferenceDensity Ratio Estimation | —Unverified | 0 | 0 |
| Bayesian Neural Networks: A Min-Max Game Framework | Nov 18, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Bayesian Neural Networks with Domain Knowledge Priors | Feb 20, 2024 | FairnessVariational Inference | —Unverified | 0 | 0 |
| Bayesian Neural Network via Stochastic Gradient Descent | Jun 4, 2020 | regressionVariational Inference | —Unverified | 0 | 0 |
| Bayesian Neural Ordinary Differential Equations | Dec 14, 2020 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Probabilistic Neural Transfer Function Estimation with Bayesian System Identification | Aug 11, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Bayesian nonparametric comorbidity analysis of psychiatric disorders | Jan 29, 2014 | Variational Inference | —Unverified | 0 | 0 |
| Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence | Jul 6, 2021 | Autonomous DrivingBayesian Inference | —Unverified | 0 | 0 |
| Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence | May 25, 2021 | Fairnessreinforcement-learning | —Unverified | 0 | 0 |
