| Factorized Fusion Shrinkage for Dynamic Relational Data | Sep 30, 2022 | Variational Inference | CodeCode Available | 0 |
| Automatic differentiation is no panacea for phylogenetic gradient computation | Nov 3, 2022 | Variational Inference | CodeCode Available | 0 |
| Differentiable Random Partition Models | May 26, 2023 | Variational Inference | CodeCode Available | 0 |
| OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation | Aug 17, 2020 | Variational Inference | CodeCode Available | 0 |
| A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model | Nov 22, 2019 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Variational Sequential Monte Carlo | May 31, 2017 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference | Oct 5, 2018 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 |
| Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam | Jun 13, 2018 | Reinforcement LearningStochastic Optimization | CodeCode Available | 0 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 |
| Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations | Jun 7, 2019 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
