Jensen's inequality
A mathematical principle that allows optimization of the variational lower bound, enabling learning in variational methods where direct likelihood optimization is intractable.
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Videos Mentioning Jensen's inequality
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 Online
A mathematical inequality used to derive the Evidence Lower Bound (ELBO) for intractable probability calculations in diffusion models.
Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 4 - Latent Space & Guidance
Stanford Online
A mathematical inequality used to derive the lower bound of the VAE loss function, allowing for computation despite intractable integrals.