TP2a: Bilevel Optimization (Invited)
Tue, 31 Oct, 13:30 - 15:10 PT (UTC -8)
Location: Oak Shelter
Session Type: Lecture
Session Co-Chairs: Hoi-To Wai, Chinese University of Hong Kong and Mingyi Hong, University of Minnesota
Track: Adaptive Systems, Machine Learning, Data Analytics
Tue, 31 Oct, 13:30 - 13:55 PT (UTC -8)

TP2a.1: Efficient Methods for Bilevel Optimization with Polyak-Lojasiewicz Lower-level Problems
Quan Xiao, Rensselaer Polytechinic Institute, United States; Songtao Lu, IBM Research, United States; Tianyi Chen, Rensselaer Polytechinic Institute, United States
Tue, 31 Oct, 13:55 - 14:20 PT (UTC -8)

TP2a.2: Stochastic Perturbation Based Smoothing for Linearly Constrained Bilevel Optimization
Ioannis Tsaknakis, University of Minnesota, United States; Prashant Khanduri, Wayne State University, United States; Mingyi Hong, University of Minnesota, United States
Tue, 31 Oct, 14:20 - 14:45 PT (UTC -8)

TP2a.3: A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem

Ruichen Jiang, The University of Texas at Austin, United States; Nazanin Abolfazli, University of Arizona, United States; Aryan Mokhtari, The University of Texas at Austin, United States; Erfan Yazdandoost Hamedani, University of Arizona, United States
Tue, 31 Oct, 14:45 - 15:10 PT (UTC -8)

TP2a.4: Efficient Bilevel Optimization and Application in Machine Learning
Kaiyi Ji, University at Buffalo, United States