Jensen's inequality

Concept

A mathematical principle that allows optimization of the variational lower bound, enabling learning in variational methods where direct likelihood optimization is intractable.

Mentioned in 2 videos

Videos Mentioning Jensen's inequality

Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)

Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)

Lex Fridman

A mathematical principle that allows optimization of the variational lower bound, enabling learning in variational methods where direct likelihood optimization is intractable.

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 1 - Diffusion

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 1 - Diffusion

Stanford Online

A mathematical inequality used to derive the Evidence Lower Bound (ELBO) for intractable probability calculations in diffusion models.