| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 |
| Implicit Posterior Variational Inference for Deep Gaussian Processes | Oct 26, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework | Oct 26, 2019 | Knowledge DistillationVariational Inference | —Unverified | 0 |
| Stabilising priors for robust Bayesian deep learning | Oct 23, 2019 | Deep LearningVariational Inference | —Unverified | 0 |
| Sparse Orthogonal Variational Inference for Gaussian Processes | Oct 23, 2019 | Gaussian ProcessesMulti-class Classification | CodeCode Available | 1 |
| Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales | Oct 23, 2019 | MuJoCoVariational Inference | CodeCode Available | 0 |
| Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | Oct 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Single Episode Policy Transfer in Reinforcement Learning | Oct 17, 2019 | reinforcement-learningReinforcement Learning | CodeCode Available | 0 |
| Rapid Model Comparison by Amortizing Across Models | Oct 16, 2019 | modelTopic Models | CodeCode Available | 0 |
| Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models | Oct 16, 2019 | Deep LearningDimensionality Reduction | —Unverified | 0 |
