Algorithms and Theory for Variational Inference in Two-Level Non-Conjugate Models.

Sheth, Rishit.


  • Work over the last two decades has resulted in the development of powerful models in probabilistic machine learning with a variety of applications: recommender systems, statistical analyses of text corpora, automated astronomy, and more. Exact inference is rarely possible in complex models and much research has been devoted to developing successful algorithms for approximate inference. ... read more
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