Deep Learn Generative Models

Host University

George Mason University

Semester

Spring 2023

Credits

3

Discipline

Computer Science

Instructor

Daniel Barbara (dbarbara@gmu.edu)

Times and Days

4:30pm-7:10pm

T

Course Information

The course covers recent advances in the field of machine learning. Possible topics include: Learning Theory (PAC, error bounds, VC-dimension); Learning manifolds; Transfer learning; Active learning; Learning with structured data (e.g. graphs); Topic modeling; Learning with text; Graphical Models (Bayesian Networks); Learning HMMs. Topics may change depending on the instructor. Offered by Computer Science. May not be repeated for credit.

Prerequisites

CS 681B-, 681XS, 687B-, 687XS, 688B- or 688XS.