| Functional Variational Bayesian Neural Networks | Mar 14, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Variational Bayesian Optimal Experimental Design | Mar 13, 2019 | Experimental DesignVariational Inference | CodeCode Available | 0 |
| Elements of Sequential Monte Carlo | Mar 12, 2019 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations | Mar 10, 2019 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes | Mar 9, 2019 | Variational Inference | —Unverified | 0 |
| NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport | Mar 9, 2019 | Variational Inference | —Unverified | 0 |
| The Variational Predictive Natural Gradient | Mar 7, 2019 | General ClassificationVariational Inference | CodeCode Available | 0 |
| Theoretical guarantees for sampling and inference in generative models with latent diffusions | Mar 5, 2019 | Variational Inference | —Unverified | 0 |
| Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future | Mar 5, 2019 | Imitation LearningModel-based Reinforcement Learning | —Unverified | 0 |
| Multi-Object Representation Learning with Iterative Variational Inference | Mar 1, 2019 | ObjectRepresentation Learning | CodeCode Available | 0 |
