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AI/ML Seminar Series: Variational Inference: To Derive or Not To Derive: Geng Ji

The AI/ML Seminar Series is proud to present Geng Ji, PhD student, UCI. Variational inference provides a general optimization framework to approximate the posterior distributions of latent variables in probabilistic models. Although effective in simple scenarios, it may be inaccurate or infeasible when the data is high-dimensional, the model structure is complicated, or variable relationships are non-conjugate. This talk will present two different strategies to solve these problems.

Monday, November 4 at 1:00pm to 2:00pm

Donald Bren Hall, 4011
6210 Donald Bren Hall, Irvine, CA 92697

Event Type

Lectures / Presentations, Speakers, Technology

Audience

General Public, Students, Graduate Students

Website

https://cml.ics.uci.edu/aiml/

Cost

Free

Department
Information & Computer Sciences
Hashtag

#UCIICS

Event Sponsor

Center for Machine Learning and Intelligent Systems

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