| ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems | May 8, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 | 5 |
| Scalable Bayesian Preference Learning for Crowds | Dec 4, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 | 5 |
| Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations | Nov 5, 2018 | Recommendation SystemsVariational Inference | CodeCode Available | 0 | 5 |
| Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India | Dec 13, 2017 | BIG-bench Machine LearningVariational 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 |
| Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference | Apr 17, 2024 | Variational Inference | CodeCode Available | 0 | 5 |
| Generating Neural Networks with Neural Networks | Jan 6, 2018 | DiversityVariational Inference | CodeCode Available | 0 | 5 |
| Gaussian Process-Gated Hierarchical Mixtures of Experts | Feb 9, 2023 | Gaussian ProcessesVariational 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: Three arguments for deriving new Posteriors | Apr 3, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
