| Einstein VI: General and Integrated Stein Variational Inference in NumPyro | Jan 1, 2021 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| EinSteinVI: General and Integrated Stein Variational Inference | Sep 29, 2021 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 |
| Elements of Sequential Monte Carlo | Mar 12, 2019 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| Embarrassingly Parallel Variational Inference in Nonconjugate Models | Oct 14, 2015 | Variational Inference | —Unverified | 0 |
| Bayesian Models of Data Streams with Hierarchical Power Priors | Jul 7, 2017 | Computational EfficiencyVariational Inference | —Unverified | 0 |
| Discovering Latent Structural Causal Models from Spatio-Temporal Data | Nov 8, 2024 | Causal DiscoveryEpidemiology | —Unverified | 0 |
| Bayesian Model Selection via Mean-Field Variational Approximation | Dec 17, 2023 | modelModel Selection | —Unverified | 0 |
| Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data | Nov 6, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Fast moment estimation for generalized latent Dirichlet models | Mar 17, 2016 | parameter estimationVariational Inference | —Unverified | 0 |
| Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How | Sep 29, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
