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| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 | 5 |
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| Bayesian Learning for Deep Neural Network Adaptation | Dec 14, 2020 | speech-recognitionSpeech Recognition | CodeCode Available | 0 | 5 |
| Manifold Gaussian Variational Bayes on the Precision Matrix | Oct 26, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization | May 23, 2023 | Deep LearningTime Series | CodeCode Available | 0 | 5 |
