2 papers
math.OC2026
Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
Hongxu Chen, Ke Wei, Luo Luo
Decentralized optimization is critical for solving large-scale machine learning problems over distributed networks, where multiple nodes collaborate through local communication. In…
cs.LG2026
Stability and Generalization of Nonconvex Optimization with Heavy-Tailed Noise
Hongxu Chen, Ke Wei, Xiaoming Yuan +1
The empirical evidence indicates that stochastic optimization with heavy-tailed gradient noise is more appropriate to characterize the training of machine learning models than that…