| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 |
| Adversarial Purification with the Manifold Hypothesis | Oct 26, 2022 | Adversarial PurificationAdversarial Robustness | —Unverified | 0 |
| Learning on Large-scale Text-attributed Graphs via Variational Inference | Oct 26, 2022 | Variational Inference | CodeCode Available | 1 |
| Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise | Oct 26, 2022 | Causal DiscoveryTime Series | —Unverified | 0 |
| Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach | Oct 26, 2022 | Thompson SamplingVariational Inference | CodeCode Available | 0 |
| On the optimization and pruning for Bayesian deep learning | Oct 24, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment | Oct 24, 2022 | Sequential RecommendationVariational Inference | CodeCode Available | 1 |
| GFlowOut: Dropout with Generative Flow Networks | Oct 24, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Solving Reasoning Tasks with a Slot Transformer | Oct 20, 2022 | Representation LearningVariational Inference | —Unverified | 0 |
| On Representations of Mean-Field Variational Inference | Oct 20, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
