| Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift | Jun 26, 2020 | Bayesian InferenceDecision Making | —Unverified | 0 |
| Hyperparameter Ensembles for Robustness and Uncertainty Quantification | Jun 24, 2020 | Diversityimage-classification | CodeCode Available | 0 |
| 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 |
| Uncertainty Quantification for Inferring Hawkes Networks | Jun 12, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification using martingales for misspecified Gaussian processes | Jun 12, 2020 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 |
| Fast Deep Mixtures of Gaussian Process Experts | Jun 11, 2020 | Gaussian ProcessesMixture-of-Experts | —Unverified | 0 |
| Conformal Inference of Counterfactuals and Individual Treatment Effects | Jun 11, 2020 | Decision MakingUncertainty Quantification | CodeCode Available | 1 |
| Calibration of the von Wolffersdorff model using Genetic Algorithms | Jun 10, 2020 | SandUncertainty Quantification | —Unverified | 0 |
| A generalized Bayes framework for probabilistic clustering | Jun 9, 2020 | ClusteringUncertainty Quantification | —Unverified | 0 |
| Physics Informed Deep Kernel Learning | Jun 8, 2020 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Achieving Equalized Odds by Resampling Sensitive Attributes | Jun 8, 2020 | AttributeFairness | CodeCode Available | 0 |
| Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data | Jun 7, 2020 | Uncertainty Quantification | —Unverified | 0 |
| Sparse representation for damage identification of structural systems | Jun 6, 2020 | Bayesian OptimizationUncertainty Quantification | —Unverified | 0 |
| Entropy-Regularized 2-Wasserstein Distance between Gaussian Measures | Jun 5, 2020 | FormUncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification in medical image segmentation with normalizing flows | Jun 4, 2020 | DiversityImage Segmentation | CodeCode Available | 1 |
| A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables | Jun 2, 2020 | Uncertainty Quantification | CodeCode Available | 0 |
| Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring | Jun 1, 2020 | Blind Image DeblurringDeblurring | —Unverified | 0 |
| Semi-supervised deep learning for high-dimensional uncertainty quantification | Jun 1, 2020 | Deep LearningDimensionality Reduction | —Unverified | 0 |
