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 - Dr. Rina Foygel Barber Algorithmic stability for regression and classification October 29, 2024 ISYE Statistics Seminar - Dr. Kathryn Maupin Title: Bayesian Optimal Design of Pulsed Power Experiments October 15, 2024 ISYE Statistics Seminar - Pierre Bellec Uncertainty quantification for iterative algorithms September 24, 2024 ISyE Statistics Seminar - Tracy Ke Recent Advances in Text Analysis April 18, 2023 ISyE Statistics Seminar- Zhuoran Yang Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments March 15, 2023 ISyE Statistics Seminar- Ming Yuan Spectral Learning for High Dimensional Tensors November 17, 2022 ISyE Statistics Seminar - Jay Batroff Optimal hypergeometric confidence sets can (almost) always be intervals November 10, 2022 ISyE Statistics Seminar Speaker- Ralph C. Smith, North Carolina State University Active Subspace Techniques to Construct Surrogate Models for Complex Simulation Codes November 3, 2022 ISyE Statistics Seminar- Matias Cattaneo Uniform Inference for Kernel Density Estimators with Dyadic Data September 22, 2022 ISyE Statistics Seminar- Jay Bartroff Optimal hypergeometric confidence sets can (almost) always be intervals August 25, 2022 Pagination First page « First Previous page ‹ Previous Page 1 Current page 2 Page 3 Next page Next › Last page Last »
