| Distributional Bayesian optimisation for variational inference on black-box simulators | Oct 16, 2019 | Bayesian OptimisationVariational Inference | CodeCode Available | 0 |
| Structured Semi-Implicit Variational Inference | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences | Oct 16, 2019 | DiagnosticVariational Inference | —Unverified | 0 |
| Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Scalable Gradients and Variational Inference for Stochastic Differential Equations | Oct 16, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Optimal Transport for Distribution Adaptation in Bayesian Hilbert Maps | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Stein Variational Gradient Descent for Approximate Bayesian Computation | Oct 16, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC | Oct 16, 2019 | Variational Inference | —Unverified | 0 |
| Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage | Oct 16, 2019 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
