| Reducing Reparameterization Gradient Variance | May 22, 2017 | Variational Inference | CodeCode Available | 0 |
| Learning more expressive joint distributions in multimodal variational methods | Sep 8, 2020 | ColorizationVariational Inference | CodeCode Available | 0 |
| Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning | May 1, 2017 | Model-based Reinforcement Learningreinforcement-learning | CodeCode Available | 0 |
| Yes, but Did It Work?: Evaluating Variational Inference | Feb 7, 2018 | DiagnosticVariational Inference | CodeCode Available | 0 |
| Learning Nonparametric Volterra Kernels with Gaussian Processes | Jun 10, 2021 | Gaussian ProcessesNumerical Integration | CodeCode Available | 0 |
| Consistency Regularization for Variational Auto-Encoders | May 31, 2021 | Image GenerationVariational Inference | CodeCode Available | 0 |
| Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models | Mar 13, 2017 | Variational Inference | CodeCode Available | 0 |
| Structured Variational Inference in Continuous Cox Process Models | Jun 7, 2019 | Numerical IntegrationUncertainty Quantification | CodeCode Available | 0 |
| Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding | Feb 23, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Structured Variational Inference in Unstable Gaussian Process State Space Models | Jul 16, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
