24 citations · 68 across the 16 of their papers we have counts for
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math.OC2021★ 4 cited
Enhanced Bilevel Optimization via Bregman Distance
Feihu Huang, Junyi Li, Shangqian Gao +1
Bilevel optimization has been recently used in many machine learning problems such as hyperparameter optimization, policy optimization, and meta learning. Although many bilevel opt…
math.OC2021★ 7 cited
BiAdam: Fast Adaptive Bilevel Optimization Methods
Feihu Huang, Junyi Li, Shangqian Gao
Bilevel optimization recently has attracted increased interest in machine learning due to its many applications such as hyper-parameter optimization and meta learning. Although man…
math.OC2021★ 8 cited
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Feihu Huang, Junyi Li, Heng Huang
Adaptive gradient methods have shown excellent performances for solving many machine learning problems. Although multiple adaptive gradient methods were recently studied, they main…