| The Role of Mutual Information in Variational Classifiers | Oct 22, 2020 | Variational Inference | —Unverified | 0 |
| Sparse Gaussian Process Variational Autoencoders | Oct 20, 2020 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| VarGrad: A Low-Variance Gradient Estimator for Variational Inference | Oct 20, 2020 | Variational Inference | CodeCode Available | 1 |
| Iterative Amortized Policy Optimization | Oct 20, 2020 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Semi-parametric γ-ray modeling with Gaussian processes and variational inference | Oct 20, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Learning to Learn Variational Semantic Memory | Oct 20, 2020 | Few-Shot LearningGeneral Knowledge | CodeCode Available | 0 |
| Privacy-preserving Data Sharing on Vertically Partitioned Data | Oct 19, 2020 | Privacy PreservingVariational Inference | —Unverified | 0 |
| Probabilistic selection of inducing points in sparse Gaussian processes | Oct 19, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning | Oct 17, 2020 | Deep Reinforcement LearningEfficient Exploration | —Unverified | 0 |
| Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter | Oct 17, 2020 | DiversityState Space Models | CodeCode Available | 0 |
