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2024 ICML ICML 2024

Batch and match: black-box variational inference with a score-based divergence

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Diana Cai, Chirag Modi, Loucas Pillaud-Vivien, Charles Margossian, Robert M. Gower, David Blei, Lawrence K. Saul

Topics

Machine Learning > Optimization & Theory > Bayesian Inference Deep Learning > Models > Variational Inference

Keywords

variational inference convergence gradient evaluation proximal update gaussian variational families score-based divergence
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