| 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 |
| AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling | Dec 1, 2019 | Bayesian InferenceDeblurring | CodeCode Available | 0 |
| Generalised Linear Models for Dependent Binary Outcomes with Applications to Household Stratified Pandemic Influenza Data | Nov 27, 2019 | Model SelectionUncertainty Quantification | CodeCode Available | 0 |
| Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure | Nov 22, 2019 | Bayesian InferenceNeural Architecture Search | CodeCode Available | 0 |
| Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions | Nov 20, 2019 | Experimental DesignUncertainty Quantification | —Unverified | 0 |
| Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty | Nov 14, 2019 | SegmentationUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Ensembles of Honest Regression Trees using Generalized Fiducial Inference | Nov 14, 2019 | Prediction Intervalsregression | —Unverified | 0 |
| Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions | Nov 14, 2019 | Uncertainty Quantification | —Unverified | 0 |
| AMPL: A Data-Driven Modeling Pipeline for Drug Discovery | Nov 13, 2019 | BIG-bench Machine LearningDrug Discovery | CodeCode Available | 0 |
