| Unitary Approximate Message Passing for Sparse Bayesian Learning | Jan 25, 2021 | Variational Inference | —Unverified | 0 |
| NEMR: Network Embedding on Metric of Relation | Jan 20, 2021 | Link PredictionNetwork Embedding | —Unverified | 0 |
| Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach | Jan 18, 2021 | Binary ClassificationBrain Computer Interface | —Unverified | 0 |
| Bayesian Inference Forgetting | Jan 16, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Efficient Semi-Implicit Variational Inference | Jan 15, 2021 | Variational Inference | —Unverified | 0 |
| Preconditioned training of normalizing flows for variational inference in inverse problems | Jan 11, 2021 | compressed sensingVariational Inference | CodeCode Available | 1 |
| HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks | Jan 9, 2021 | validVariational Inference | CodeCode Available | 1 |
| Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way | Jan 8, 2021 | Model SelectionTensor Decomposition | —Unverified | 0 |
| The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks | Jan 7, 2021 | Adversarial RobustnessVariational Inference | —Unverified | 0 |
| Markov Chain Monte Carlo Policy Optimization | Jan 4, 2021 | continuous-controlContinuous Control | —Unverified | 0 |
