Denoising Implicit Variational Inference
Semi-implicit variational inference (SIVI) expands the representational capacity of variational families, but optimizing the Evidence Lower Bound (ELBO) remains challenging because the marginal score of the semi-implicit distribution is generally intractable. Unbiased Implicit Variational Inference (UIVI) and related methods address this difficulty through reparameterized ELBO gradients, but existing approaches estimate the required score indirectly through reverse-conditional sampling or approximation, which can be computationally costly and unstable. We propose Denoising Implicit Variational Inference (DIVI), which learns the marginal score directly via denoising score matching. The lea...
| Authors | Zitong Wang, Zekun Wu, Longlin Yu et al. |
|---|---|
| Primary category | stat.ML |
| Published | 17 October 2026 |
| Last updated at source | 17 October 2026 |
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