| Gauging Variational Inference | Mar 3, 2017 | Variational Inference | —Unverified | 0 |
| Gaussian Density Parametrization Flow: Particle and Stochastic Approaches | Nov 23, 2020 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Gaussian Mean Field Regularizes by Limiting Learned Information | Feb 12, 2019 | Variational Inference | —Unverified | 0 |
| Gaussian Process Conditional Density Estimation | Oct 30, 2018 | Density EstimationFew-Shot Learning | —Unverified | 0 |
| 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 |
| Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond | Aug 20, 2019 | Recommendation SystemsVariational Inference | —Unverified | 0 |
| Gaussian Process Latent Variable Flows for Massively Missing Data | Nov 23, 2020 | Dimensionality ReductionGaussian Processes | —Unverified | 0 |
| Hierarchical models for neural population dynamics in the presence of non-stationarity | Oct 12, 2014 | Variational Inference | —Unverified | 0 |
| HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer | Jul 30, 2023 | Style TransferVariational Inference | —Unverified | 0 |
