Upcoming ISyE Statistics Seminar Series Mo Zhou (University of Washington) Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry Yuqing Wang (Johns Hopkins University) Toward Theoretical Foundations of Training and Generalization Dynamics in Deep Learning Past ISyE Statistics Seminar Series ISYE Statistics Seminar - Paromita Dubey (University of Southern California Marshall School of Business) Neyman-Orthogonal Tests for Equality of Regression Functions November 4, 2026 ISYE Statistics Seminar - Xiao Hu (Nell Hodgson Woodruff School of Nursing) UNIPHY: A Unified Prediction and Forecasting Architecture Using Physiological Signals October 28, 2026 ISYE Statistics Seminar - Ruoxuan Xiong (Emory University) Learning and Inference Under Nonrandom Missingness with AI-Generated Measurements October 27, 2026 ISyE Statistics Seminar - Wei Jin Time Series Learning: From Forecasting to Reasoning and Discovery October 21, 2026 ISYE Statistics Seminar - Alon Kipnis The Sharp Minimax Risk for High-Dimensional Uniformity Testing and Applications to Model Calibration September 30, 2026 ISYE Statistics Seminar - Sankaran Mahadevan Probabilistic Digital Twins for Diagnosis, Prognosis, and Decision-Making April 7, 2026 ISYE Statistics Seminar - Richard Samworth Title: How should we do linear regression? April 22, 2025 ISYE Statistics Seminar - Zhaohui Qin A novel association study framework powered by machine learning April 15, 2025 ISYE Statistics Seminar - Hongquan Xu Title: Minimum aberration-type criterion and stratification pattern enumerator for selecting space-filling designs March 25, 2025 ISYE Statistics Seminar - Dr. Yanxun Xu Precision Medicine in HIV November 5, 2024 Pagination Current page 1 Page 2 Page 3 Next page Next › Last page Last »
