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| Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning | Oct 1, 2021 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
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| Adaptive RKHS Fourier Features for Compositional Gaussian Process Models | Jul 1, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift | Jun 7, 2019 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Feb 23, 2019 | Decision MakingDialogue Generation | CodeCode Available | 0 |
| Synonymous Variational Inference for Perceptual Image Compression | May 28, 2025 | Image CompressionVariational Inference | CodeCode Available | 0 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference | Jul 1, 2020 | AllVariational Inference | CodeCode Available | 0 |
| Compound Probabilistic Context-Free Grammars for Grammar Induction | Jun 24, 2019 | Constituency Grammar InductionSentence | CodeCode Available | 0 |
