| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| A Tutorial on Parametric Variational Inference | Jan 3, 2023 | Variational Inference | —Unverified | 0 |
| A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes | Oct 13, 2017 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
| A Tutorial on Deep Latent Variable Models of Natural Language | Dec 17, 2018 | Deep LearningVariational Inference | —Unverified | 0 |
| Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification | Aug 18, 2024 | Classificationimage-classification | —Unverified | 0 |
| A Mathematical Walkthrough and Discussion of the Free Energy Principle | Aug 30, 2021 | Bayesian InferencePhilosophy | —Unverified | 0 |
| Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification | Aug 1, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 |
| A trust-region method for stochastic variational inference with applications to streaming data | May 28, 2015 | SensitivityVariational Inference | —Unverified | 0 |
| A Trust-Region Method for Graphical Stein Variational Inference | Oct 21, 2024 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| -VAEs : Optimising variational inference by learning data-dependent divergence skew | Jun 2, 2021 | DenoisingVariational Inference | —Unverified | 0 |