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Department of Mathematics,
Department of Mathematics,
University of California San Diego
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Math 278C: Optimization and Data Science
Suhan Zhong
Texas A&M University (suzhong@tamu.edu)
Polynomial Optimization in Data Science Under Uncertainty
Abstract:
Optimization models that incorporate uncertainty and hierarchical structures have attracted much attention in data science. Recent advances in polynomial optimization offer promising methods to certify global optimality for these complex models. In this talk, I will use two-stage stochastic optimization as a major model to demonstrate how polynomial optimization can be efficiently applied to data science optimization under uncertainty.
Host: Jiawang Nie
January 15, 2025
4:00 PM
Zoom - Meeting ID: 941 4642 0185, Password: 278C2025 (Meeting Link)
Research Areas
Optimization****************************
