Research map / Probabilistic and scientific modeling / Variational and generative sampling
Universal Boosting Variational Inference
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use Hellinger-distance boosting (UBVI) instead of KL-based boosting (BVI) | boosting variational inference · Cauchy and banana distributions | forward KL divergence | Helped |
| use UBVI instead of BVI+ (ad-hoc stabilized KL boosting) | boosting variational inference · Bayesian logistic regression with t2 prior (synthetic, chemical, phishing) | energy distance to NUTS posterior | Helped |
| add entropy regularization / stabilization (BVI+) to KL boosting (ablation) | BVI · Cauchy distribution | forward KL divergence | Mixed |
Closest papers by meaning
- Least squares variational inference (NeurIPS 2025 · similarity 0.91)
- Efficient Mixture Learning in Black-Box Variational Inference (ICML 2024 · similarity 0.90)
- EigenVI: score-based variational inference with orthogonal function expansions (NeurIPS 2024 · similarity 0.90)
- Revisiting Unbiased Implicit Variational Inference (ICML 2025 · similarity 0.90)
- Variational Inference with Mixtures of Isotropic Gaussians (NeurIPS 2025 · similarity 0.90)
- Natural Gradient VI: Guarantees for Non-Conjugate Models (NeurIPS 2025 · similarity 0.90)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
