| Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations | Oct 26, 2020 | Variational Inference | —Unverified | 0 |
| Statistical optimality and stability of tangent transform algorithms in logit models | Oct 25, 2020 | regressionVariational Inference | —Unverified | 0 |
| Latent Network Estimation and Variable Selection for Compositional Data via Variational EM | Oct 25, 2020 | Variable SelectionVariational Inference | CodeCode Available | 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 |
| Variational Bayesian Unlearning | Oct 24, 2020 | Variational Inference | —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 |
| Probabilistic Circuits for Variational Inference in Discrete Graphical Models | Oct 22, 2020 | Variational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
