UC Irvine Today
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