1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.OC2024
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
Feihu Huang
Bilevel optimization is widely applied in many machine learning tasks such as hyper-parameter learning, meta learning and reinforcement learning. Although many algorithms recently…
math.OC2023
Adaptive Mirror Descent Bilevel Optimization
Feihu Huang
In the paper, we propose a class of efficient adaptive bilevel methods based on mirror descent for nonconvex bilevel optimization, where its upper-level problem is nonconvex possib…
math.OC2023★ 1 cited
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems
Feihu Huang, Songcan Chen
Minimax optimization plays an important role in many machine learning tasks such as generative adversarial networks (GANs) and adversarial training. Although recently a wide variet…