| Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation | Oct 14, 2019 | Bayesian OptimisationComputational Efficiency | —Unverified | 0 |
| Uncertainty Quantification and Exploration for Reinforcement Learning | Oct 12, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Stochastic Optimal Control as Approximate Input Inference | Oct 7, 2019 | Uncertainty Quantification | CodeCode Available | 1 |
| Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction | Oct 7, 2019 | Bayesian InferenceMolecular Property Prediction | —Unverified | 0 |
| Deep Evidential Regression | Oct 7, 2019 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Prior Guided Dropout for Robust Visual Localization in Dynamic Environments | Oct 1, 2019 | Camera LocalizationUncertainty Quantification | CodeCode Available | 0 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 |
| The Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions | Sep 25, 2019 | Uncertainty Quantification | —Unverified | 0 |
| AUGMENTED POLICY GRADIENT METHODS FOR EFFICIENT REINFORCEMENT LEARNING | Sep 25, 2019 | Policy Gradient Methodsreinforcement-learning | —Unverified | 0 |
