3 papers
cs.LG2026
Federated Compositional Muon Optimizer for Matrix-Wise Models
Wang Yan, Feihu Huang
Muon, a more recently developed optimizer, is useful for matrix-wise models in AI areas. Although many works have studied Muon and its variants, these methods are still not particu…
math.OC2026
Efficient Hessian-Free Methods for Multi-Objective Bilevel Optimization with Nonconvex Lower Level
Yicong Jiang, Feihu Huang
Multi-objective bilevel optimization has wide applications in the AI area such as automated learning and multi-task meta-learning. Although recently some works have been begun to s…
math.OC2025
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Feihu Huang, Chunyu Xuan, Xinrui Wang +2
Minimax optimization recently is widely applied in many machine learning tasks such as generative adversarial networks, robust learning and reinforcement learning. In the paper, we…