| Bayesian Matrix Decomposition and Applications | Feb 18, 2023 | Variational Inference | —Unverified | 0 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | Sep 18, 2022 | Bayesian InferenceClustering | —Unverified | 0 |
| Functional Variational Inference based on Stochastic Process Generators | Dec 1, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 |
| Function-Space Regularization for Deep Bayesian Classification | Jul 12, 2023 | Adversarial RobustnessClassification | —Unverified | 0 |
| Function-Space Variational Inference for Deep Bayesian Classification | Sep 29, 2021 | Adversarial RobustnessClassification | —Unverified | 0 |
| Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models | Dec 6, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework | Dec 27, 2023 | PositionVariational Inference | —Unverified | 0 |
| Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence | Dec 1, 2018 | Variational Inference | —Unverified | 0 |
| Neural Graph Collaborative Filtering Using Variational Inference | Nov 20, 2023 | Collaborative FilteringRecommendation Systems | —Unverified | 0 |
