| A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors | Nov 26, 2021 | Model SelectionTime Series | —Unverified | 0 |
| Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data | Nov 25, 2021 | BIG-bench Machine LearningNormalising Flows | CodeCode Available | 0 |
| Differentially private stochastic expectation propagation (DP-SEP) | Nov 25, 2021 | Variational Inference | —Unverified | 0 |
| BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule | Nov 25, 2021 | Neural Architecture SearchVariational Inference | —Unverified | 0 |
| Weight Pruning and Uncertainty in Radio Galaxy Classification | Nov 23, 2021 | ClassificationData Augmentation | CodeCode Available | 0 |
| Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach | Nov 22, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Matrix Inversion free variational inference in Conditional Student's T Processes | Nov 22, 2021 | validVariational Inference | —Unverified | 0 |
| Shooting Schrödinger’s Cat | Nov 22, 2021 | Variational Inference | —Unverified | 0 |
| Probabilistic Deep Learning with Generalised Variational Inference | Nov 22, 2021 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel | Nov 21, 2021 | Numerical IntegrationVariational Inference | —Unverified | 0 |
