Events

Past Events

CSE DSI Machine Learning Seminar with Boran Han (AWS AI)

Boran Han will give a talk entitled Towards efficient foundation models via context-awareness and continual pretraining.

The effect of Leaky ReLUs on the training and generalization of overparameterized networks

IMA Data Science Seminar

Yinglong Guo (University of Minnesota)

Algebras to Insights: my journey from mathematics to data science

Industrial Problems Seminar

Kari Eifler (Microsoft)

Generalization theory for diffusion models

IMA Data Science Seminar

Frank Cole (University of Minnesota)

CSE DSI Machine Learning with Neil Gong (EE, Duke University)

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

CSE DSI Machine Learning Seminar with Yu Bai (Salesforce)

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

CSE DSI Machine Learning Seminar with Tianxi Li (Statistics, U of MN)

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

CSE DSI Machine Learning Seminar with Albert Berahas (University of Michigan)

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

CSE DSI Machine Learning Seminar with Yulong Lu (Math, UMN)

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.

IMA Data Science Seminar - Transferability of Graph Neural Networks using Graphon and Sampling Theories

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