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| Generative Adversarial Networks with Decoder-Encoder Output Noise | Jul 11, 2018 | DecoderImage Generation | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 | 5 |
| Generalized Variational Inference: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows | Oct 31, 2023 | Variational Inference | CodeCode Available | 0 | 5 |
| An Efficient Difference-of-Convex Solver for Privacy Funnel | Mar 2, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 | 5 |
| Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences | May 30, 2021 | Point ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates | Feb 26, 2025 | EpidemiologyVariational Inference | CodeCode Available | 0 | 5 |
