Events

IMA Data Science Seminar

Frank Cole (University of Minnesota)

Neil Gong (EE, Duke) will give a talk entitled Robust Content Moderation for Generative AI.

Yu Bai will give a talk entitled Understanding Learning in the Age of Foundation Models.

Tianxi Li will give a talk entitled Statistical tools for analyzing complex networks: nonparametric inference from single to multiple systems.

Albert Berahas will give a talk entitled Next Generation Algorithms for Stochastic Optimization with Constraints.

Yulong Lu, assistant professor in the School of Mathematics, UMN, will give a talk entitled Two-scale gradient descent ascent dynamics finds mixed Nash equilibria of continuous games: A mean-field perspective.

Martina Neuman (University of Vienna) will give a talk entitled Transferability of Graph Neural Networks using Graphon and Sampling Theories.

Yiqiao Zhong (Statistics, UW-Madison) will give a talk entitled A Geometric Journey into the World of Large Language Models.

Konstantinos Spiliopoulos (Boston University) will give a talk entitled Normalization effects and mean field theory for deep neural networks.

Aldo Scutari, Purdue University, will give a talk entitled Statistical Inference over Networks: Decentralized Optimization Meets High-Dimensional Statistics.