| Collapsed variational Bayes for Markov jump processes | Dec 1, 2017 | Variational Inference | —Unverified | 0 | 0 |
| Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | Oct 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Tutorial on Parametric Variational Inference | Jan 3, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Generalized Variational Continual Learning | Nov 24, 2020 | Continual LearningVariational Inference | —Unverified | 0 | 0 |
| Generalized Transformation-based Gradient | Nov 6, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network | Jun 1, 2021 | ImputationMissing Values | —Unverified | 0 | 0 |
| Convergence Rates of Variational Inference in Sparse Deep Learning | Aug 9, 2019 | Bayesian InferenceDeep Learning | —Unverified | 0 | 0 |
| Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference | Feb 25, 2022 | BenchmarkingDimensionality Reduction | —Unverified | 0 | 0 |
| Cold Posteriors through PAC-Bayes | Jun 22, 2022 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 | 0 |
| A Tutorial on Deep Latent Variable Models of Natural Language | Dec 17, 2018 | Deep LearningVariational Inference | —Unverified | 0 | 0 |
