| Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales | Oct 23, 2019 | MuJoCoVariational Inference | CodeCode Available | 0 |
| Stabilising priors for robust Bayesian deep learning | Oct 23, 2019 | Deep LearningVariational Inference | —Unverified | 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 |
| Scalable Gradients and Variational Inference for Stochastic Differential Equations | Oct 16, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Distributional Bayesian optimisation for variational inference on black-box simulators | Oct 16, 2019 | Bayesian OptimisationVariational Inference | CodeCode Available | 0 |
| Optimal Transport for Distribution Adaptation in Bayesian Hilbert Maps | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Structured Semi-Implicit Variational Inference | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models | Oct 16, 2019 | Deep LearningDimensionality Reduction | —Unverified | 0 |
