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Riemannian Stein Variational Gradient Descent for Bayesian Inference
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RSVGD instead of SVGD | Bayesian logistic regression · Splice19 | test accuracy | Helped |
| Use RSVGD instead of SVGD | Bayesian logistic regression · Covertype | test accuracy | Helped |
| Use RSVGD instead of mean-field VI | Spherical Admixture Model · 20News-different | log-perplexity | Helped |
| Use RSVGD instead of GMC or SGGMC | Spherical Admixture Model · 20News-different | log-perplexity | Helped |
| Use the summed Gaussian kernel instead of the SVGD median trick (ablation) | RSVGD and SVGD · Bayesian logistic regression | test accuracy | Helped |
| Use the arcsine kernel instead of the vMF kernel (ablation) | RSVGD · Spherical Admixture Model | log-perplexity | Hurt |
| Use a naive mini-batch implementation instead of full-batch RSVGD (ablation) | RSVGD · Bayesian inference experiments | performance | Hurt |
| Increase the number of particles (ablation) | RSVGD · Spherical Admixture Model, 20News-different | log-perplexity | Mixed |
Closest papers by meaning
- Stein Variational Gradient Descent With Matrix-Valued Kernels (NeurIPS 2019 · similarity 0.92)
- Adaptive gradient descent on Riemannian manifolds and its applications to Gaussian variational inference (ICLR 2026 · similarity 0.92)
- Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm (NeurIPS 2016 · similarity 0.91)
- Stein Variational Gradient Descent as Moment Matching (NeurIPS 2018 · similarity 0.90)
- ELBOing Stein: Variational Bayes with Stein Mixture Inference (ICLR 2025 · similarity 0.88)
- SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization (ICML 2025 · similarity 0.88)
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