| Variational Bayesian Unlearning | Oct 24, 2020 | Variational Inference | —Unverified | 0 |
| Out-of-distribution detection for regression tasks: parameter versus predictor entropy | Oct 24, 2020 | DiversityOut-of-Distribution Detection | —Unverified | 0 |
| Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors | Oct 24, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference | Oct 23, 2020 | Density EstimationVariational Inference | —Unverified | 0 |
| UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data | Oct 22, 2020 | ClusteringPrediction | —Unverified | 0 |
| The Role of Mutual Information in Variational Classifiers | Oct 22, 2020 | Variational Inference | —Unverified | 0 |
| Sparse Gaussian Process Variational Autoencoders | Oct 20, 2020 | Computational EfficiencyVariational Inference | CodeCode Available | 0 |
| Semi-parametric γ-ray modeling with Gaussian processes and variational inference | Oct 20, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Learning to Learn Variational Semantic Memory | Oct 20, 2020 | Few-Shot LearningGeneral Knowledge | CodeCode Available | 0 |
| Privacy-preserving Data Sharing on Vertically Partitioned Data | Oct 19, 2020 | Privacy PreservingVariational Inference | —Unverified | 0 |
