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| Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation | Jun 23, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 |
| Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification | Jun 22, 2020 | Active LearningExperimental Design | CodeCode Available | 1 |
| Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions | Jun 20, 2020 | Decision MakingSequential Decision Making | CodeCode Available | 0 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 |
| Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness | Jun 17, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| A Deterministic Approximation to Neural SDEs | Jun 16, 2020 | Time Series AnalysisUncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality | Jun 15, 2020 | Uncertainty Quantificationvalid | —Unverified | 0 |
| Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification | Jun 14, 2020 | Recommendation SystemsUncertainty Quantification | CodeCode Available | 0 |
