| Black-box Variational Inference for Stochastic Differential Equations | Feb 9, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| A Stein variational Newton method | Jun 8, 2018 | Variational Inference | CodeCode Available | 0 | 5 |
| Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks | Sep 23, 2022 | regressionVariational 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 |
| Dynamic Word Embeddings | Feb 27, 2017 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference | Jul 1, 2020 | AllVariational Inference | CodeCode Available | 0 | 5 |
| Early Stopping is Nonparametric Variational Inference | Apr 6, 2015 | Variational Inference | CodeCode Available | 0 | 5 |
| CCSL: A Causal Structure Learning Method from Multiple Unknown Environments | Nov 18, 2021 | Causal DiscoveryClustering | CodeCode Available | 0 | 5 |
| Black Box Variational Inference | Dec 31, 2013 | Stochastic OptimizationVariational Inference | CodeCode Available | 0 | 5 |
| Black-box Coreset Variational Inference | Nov 4, 2022 | Bayesian InferenceData Summarization | CodeCode Available | 0 | 5 |
