| On Semi-parametric Inference for BART | Jan 1, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network | Jan 1, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Healing Gaussian Process Experts | Jan 1, 2020 | Gaussian ProcessesGeneral Classification | —Unverified | 0 |
| Optimal Uncertainty-guided Neural Network Training | Dec 30, 2019 | Prediction IntervalsUncertainty Quantification | —Unverified | 0 |
| A practical guide to pseudo-marginal methods for computational inference in systems biology | Dec 28, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| Detection of False Positive and False Negative Samples in Semantic Segmentation | Dec 8, 2019 | Autonomous DrivingBIG-bench Machine Learning | CodeCode Available | 0 |
| Solving Bayesian Inverse Problems via Variational Autoencoders | Dec 5, 2019 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Regression with Uncertainty Quantification in Large Scale Complex Data | Dec 4, 2019 | Age Estimationregression | —Unverified | 0 |
| Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon | Dec 3, 2019 | Uncertainty QuantificationVariable Selection | —Unverified | 0 |
| Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta Method | Dec 2, 2019 | Deep LearningGeneral Classification | CodeCode Available | 0 |
