#ElBoing
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning, Eric Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck
arxiv.org/abs/2410.22948
April 21, 2025 at 12:45 PM
[2025-01-27] 📚 Updates in #BDL

(1) ELBOing Stein: Variational Bayes with Stein Mixture Inference
(2) <a href="https://researchtrend.ai/papers/2501.13986" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks
(3) An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks

🔍 More at researchtrend.ai/communities/BDL
January 27, 2025 at 6:08 AM
@enalisnick.bsky.social’s “ELBOing Stein: Variational Bayes with Stein Mixture Inference” with Ola Rønning, Christophe Ley, @padhraicsmyth.bsky.social, and Thomas Hamelryck generalizes Stein variational gradient descent to avoid variance collapse: (7/12)
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Stein variational gradient descent (SVGD) [Liu and Wang, 2016] performs approximate Bayesian inference by representing the posterior with a set of particles. However, SVGD suffers from variance collap...
arxiv.org
April 21, 2025 at 4:44 PM
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning, Eric Nalisnick, Christophe Ley, Padhraic Smyth, Thomas Hamelryck
arxiv.org/abs/2410.22948
April 17, 2025 at 2:11 PM