| Variational Deep Learning via Implicit Regularization | May 26, 2025 | Deep LearningInductive Bias | —Unverified | 0 | 0 |
| Variational Determinant Estimation with Spherical Normalizing Flows | Dec 24, 2020 | Density EstimationVariational Inference | —Unverified | 0 | 0 |
| Variational Disentanglement for Domain Generalization | Sep 13, 2021 | DisentanglementDomain Generalization | —Unverified | 0 | 0 |
| Variational Distillation of Diffusion Policies into Mixture of Experts | Jun 18, 2024 | DenoisingMixture-of-Experts | —Unverified | 0 | 0 |
| Variational Distribution Learning for Unsupervised Text-to-Image Generation | Mar 28, 2023 | Image CaptioningImage Generation | —Unverified | 0 | 0 |
| Variational Domain Adaptation | May 1, 2019 | Bayesian InferenceDomain Adaptation | —Unverified | 0 | 0 |
| Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning | Oct 17, 2020 | Deep Reinforcement LearningEfficient Exploration | —Unverified | 0 | 0 |
| Variational Elliptical Processes | Nov 21, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 | 0 |
| Variational Entropy Search for Adjusting Expected Improvement | Feb 17, 2024 | Bayesian OptimizationVariational Inference | —Unverified | 0 | 0 |
| Variational Federated Multi-Task Learning | Jun 14, 2019 | Federated LearningMulti-Task Learning | —Unverified | 0 | 0 |
