July 10, 2024

Course: EE 563A: Submodular Optimization
SLN: 14227
Credits: 4
Instructor: Professor Jeff Bilmes
Time: Mon/Wed 10:30-12:20
Room: ECE 026

Join us for an in-depth exploration of submodularity and its powerful applications in machine learning and AI.

This course will provide a thorough introduction to submodular and supermodular functions and their relevance in these fields.

Submodularity can be seen as a discrete analog to convexity and has many applications in
machine learning and artifcial intelligence.

See flyer for details on applications and general topics covered! EE563_class_flyer_Aut2024