Research map / Probabilistic and scientific modeling / Variational and generative sampling
Coupled Variational Bayes via Optimization Embedding
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 |
|---|---|---|---|
| Replace separate encoder with optimization embedding (CVB) on synthetic 4-point data | VAE · Synthetic 2x2 one-hot images | posterior flexibility (qualitative) | Helped |
| Use CVB instead of VAE, IAF and AVB | MNIST inference · MNIST test objective, r=8 and r=32 | convergence speed (epochs) | Helped |
| Use CVB instead of AVB + AC | MNIST log-likelihood · MNIST 8-dim | log p(x): -89.6 -> -93.5 | Hurt |
| Use CVB instead of AVB + AC | MNIST log-likelihood · MNIST 32-dim | log p(x): -80.2 -> -84.0 | Hurt |
Closest papers by meaning
- Bayesian Online Natural Gradient (BONG) (NeurIPS 2024 · similarity 0.89)
- Variational Boosting: Iteratively Refining Posterior Approximations (ICML 2017 · similarity 0.89)
- Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm (NeurIPS 2016 · similarity 0.89)
- Robust, Accurate Stochastic Optimization for Variational Inference (NeurIPS 2020 · similarity 0.89)
- Generalized Variational Inference via Optimal Transport (AAAI 2024 · similarity 0.88)
- SoftCVI: Contrastive variational inference with self-generated soft labels (ICLR 2025 · similarity 0.87)
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.