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| Improved Gradient Estimators for Stochastic Discrete Variables | Sep 27, 2018 | Variational Inference | —Unverified | 0 |
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| Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach | Sep 25, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Orthogonally Decoupled Variational Gaussian Processes | Sep 24, 2018 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Predictive Collective Variable Discovery with Deep Bayesian Models | Sep 18, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Measuring Systematic Risk with Neural Network Factor Model | Sep 13, 2018 | Feature Engineeringmodel | —Unverified | 0 |
| Bayesian Semi-supervised Learning with Graph Gaussian Processes | Sep 12, 2018 | Active LearningGaussian Processes | CodeCode Available | 0 |
| Discretely Relaxing Continuous Variables for tractable Variational Inference | Sep 12, 2018 | Variational Inference | CodeCode Available | 1 |
| Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies | Sep 11, 2018 | Anomaly ClassificationGeneral Classification | —Unverified | 0 |
