| Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference | Oct 25, 2023 | Variational Inference | —Unverified | 0 |
| Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference | Nov 7, 2018 | Variational Inference | —Unverified | 0 |
| Wasserstein Variational Inference | May 29, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels | Aug 22, 2020 | Variational Inference | —Unverified | 0 |
| Where Do Human Heuristics Come From? | Feb 20, 2019 | Decision MakingMeta-Learning | —Unverified | 0 |
| Why ADAGRAD Fails for Online Topic Modeling | Sep 1, 2017 | Topic ModelsVariational Inference | —Unverified | 0 |
| Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data | Jun 13, 2021 | BIG-bench Machine LearningVariational Inference | —Unverified | 0 |
| WISE: full-Waveform variational Inference via Subsurface Extensions | Dec 11, 2023 | Variational Inference | —Unverified | 0 |
| Worst-case Optimal Submodular Extensions for Marginal Estimation | Jan 10, 2018 | Variational Inference | —Unverified | 0 |
| You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference | Jun 5, 2024 | Stochastic OptimizationVariational Inference | —Unverified | 0 |
