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Stein Variational Gradient Descent as Gradient Flow
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the continuous-time SVGD dynamics | SVGD · Target distribution approximation | KL divergence to the target | Helped |
| Use sufficiently small step sizes | Population SVGD · Target distribution approximation | KL divergence to the target | Helped |
Closest papers by meaning
- A Non-Asymptotic Analysis for Stein Variational Gradient Descent (NeurIPS 2020 · similarity 0.95)
- SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence (NeurIPS 2020 · similarity 0.94)
- Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent (NeurIPS 2023 · similarity 0.94)
- Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent (ICLR 2025 · similarity 0.92)
- Long-time asymptotics of noisy SVGD outside the population limit (ICLR 2025 · similarity 0.92)
- ELBOing Stein: Variational Bayes with Stein Mixture Inference (ICLR 2025 · similarity 0.88)
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