| Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server | Dec 31, 2015 | Variational Inference | —Unverified | 0 |
| Distributed Multitask Reinforcement Learning with Quadratic Convergence | Dec 1, 2018 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Bayesian Neural Networks: A Min-Max Game Framework | Nov 18, 2023 | Variational Inference | —Unverified | 0 |
| Einstein VI: General and Integrated Stein Variational Inference in NumPyro | Jan 1, 2021 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution | Sep 6, 2022 | Bayesian InferenceDensity Ratio Estimation | —Unverified | 0 |
| Probabilistic Neural Transfer Function Estimation with Bayesian System Identification | Aug 11, 2023 | Variational Inference | —Unverified | 0 |
| Distribution Matching in Variational Inference | Feb 19, 2018 | Variational Inference | —Unverified | 0 |
| Discrete flow posteriors for variational inference in discrete dynamical systems | May 28, 2018 | GPUVariational Inference | —Unverified | 0 |
| A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS | Sep 27, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| EinSteinVI: General and Integrated Stein Variational Inference | Sep 29, 2021 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
