Analysis and Data Science Seminar

Spring Semester 2022

January 25: No Seminar
February 1: No Seminar
February 8: Tianyi Chen (RPI); Scalable and Trustworthy Distributed AI/ML with Guarantees: Federated Learning and Beyond
February 15
February 22
March 1
March 8: Di Wang (King Abdullah University of Science and Technology); How To Preserve Privacy In Learning?
March 15: Spring Break, No Seminar
March 22: Shuhao Cao (Washington University in St. Louis); Transformer x Finite Element Methods
March 29
April 5: Yiming Ying; Statistical Learning Theory for Stochastic Gradient Methods
April 12
April 19
April 26: Jinchao Feng (Johns Hopkins University); Data-driven discovery of interacting particle systems using Gaussian processes
May 3: Hong Qian (University of Washington); A duality between Gibbs’ Physics and Statistics of Data Infinitum: A third approach to understanding the world probabilistically?