| Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes | Mar 9, 2019 | Variational Inference | —Unverified | 0 |
| Unsupervised Data Imputation via Variational Inference of Deep Subspaces | Mar 8, 2019 | ImputationVariational Inference | CodeCode Available | 1 |
| The Variational Predictive Natural Gradient | Mar 7, 2019 | General ClassificationVariational Inference | CodeCode Available | 0 |
| Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future | Mar 5, 2019 | Imitation LearningModel-based Reinforcement Learning | —Unverified | 0 |
| Theoretical guarantees for sampling and inference in generative models with latent diffusions | Mar 5, 2019 | Variational Inference | —Unverified | 0 |
| Multi-Object Representation Learning with Iterative Variational Inference | Mar 1, 2019 | ObjectRepresentation Learning | CodeCode Available | 0 |
| Training Variational Autoencoders with Buffered Stochastic Variational Inference | Feb 27, 2019 | Variational Inference | —Unverified | 0 |
| Variational Inference to Measure Model Uncertainty in Deep Neural Networks | Feb 26, 2019 | Deep LearningVariational Inference | —Unverified | 0 |
| Function Space Particle Optimization for Bayesian Neural Networks | Feb 26, 2019 | Reinforcement LearningVariational Inference | CodeCode Available | 0 |
| Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era | Feb 26, 2019 | Gaussian ProcessesState Space Models | —Unverified | 0 |
