| Training Variational Autoencoders with Buffered Stochastic Variational Inference | Feb 27, 2019 | Variational 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 |
| Variational Inference to Measure Model Uncertainty in Deep Neural Networks | Feb 26, 2019 | Deep LearningVariational Inference | —Unverified | 0 |
| Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Feb 23, 2019 | Decision MakingDialogue Generation | CodeCode Available | 0 |
| Where Do Human Heuristics Come From? | Feb 20, 2019 | Decision MakingMeta-Learning | —Unverified | 0 |
| Differentially Private Continual Learning | Feb 18, 2019 | Continual LearningVariational Inference | —Unverified | 0 |
| On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models | Feb 13, 2019 | Variational Inference | —Unverified | 0 |
| Gaussian Mean Field Regularizes by Limiting Learned Information | Feb 12, 2019 | Variational Inference | —Unverified | 0 |
| A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime | Feb 11, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 |
