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| Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates | Jan 26, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Handling the Positive-Definite Constraint in the Bayesian Learning Rule | Feb 24, 2020 | validVariational Inference | CodeCode Available | 0 | 5 |
| Harnessing Out-Of-Distribution Examples via Augmenting Content and Style | Jul 7, 2022 | Data AugmentationDisentanglement | CodeCode Available | 0 | 5 |
| Amortised Inference in Bayesian Neural Networks | Sep 6, 2023 | Meta-LearningVariational Inference | CodeCode Available | 0 | 5 |
| Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios | Jun 29, 2022 | State Space ModelsTime Series | CodeCode Available | 0 | 5 |
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| Bijectors.jl: Flexible transformations for probability distributions | Oct 16, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
