| Challenges for BBVI with Normalizing Flows | Jun 2, 2021 | Variational Inference | —Unverified | 0 |
| A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing | Feb 2, 2024 | Variational Inference | —Unverified | 0 |
| Automatic Differentiation Variational Inference with Mixtures | Mar 3, 2020 | Variational Inference | —Unverified | 0 |
| Distance-Preserving Spatial Representations in Genomic Data | Aug 1, 2024 | Representation LearningTransfer Learning | —Unverified | 0 |
| Amortized Inference of Variational Bounds for Learning Noisy-OR | Jun 6, 2019 | Variational Inference | —Unverified | 0 |
| Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks | Aug 17, 2023 | Computational EfficiencyModel Compression | —Unverified | 0 |
| Challenges and Pitfalls of Bayesian Unlearning | Jul 7, 2022 | Machine UnlearningVariational Inference | —Unverified | 0 |
| Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences | Oct 16, 2019 | DiagnosticVariational Inference | —Unverified | 0 |
| Automated Variational Inference in Probabilistic Programming | Jan 7, 2013 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Automated Variational Inference for Gaussian Process Models | Dec 1, 2014 | Variational Inference | —Unverified | 0 |
