Date2025-04-16 ~ 2025-04-25SchedulePasswordWeekdayTimeVenueOnlineIDMon,Wed,Fri09:50-12:15A3-4-312Zoom815 762 8413BIMSAIntroductionThis course introduces students to the core principles and challenges surrounding large-scale neural language models' safe and responsible development. It is designed for graduate students and technical professionals with prior experience in machine learning and natu...
Description: This course will give a brief introduction to random matrix theory. Some topics we plan to cover are: Wigner semicircle law, the moment method, the resolvent method, invariant ensembles, Wigner matrices, sample covariance matrices, bulk universality, edge universality, rigidity of eigenvalues, Dyson Brownian motion, Tracy-Widom law, and free probability.Prerequisite:Probability, S...