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math.OC2026
Stochastic Trust-Region Methods for Over-parameterized Models
Aike Yang, Hao Wang
Under interpolation-type assumptions such as the strong growth condition, stochastic optimization methods can attain convergence rates comparable to full-batch methods, but their p…
math.OC2026
Regularization for Sparse Optimization: Consistency and Global Convergence
Yaohua Hu, Hao Wang, Xiaoqi Yang
The regularization method has a strong sparsity promoting capability in approaching sparse solutions of linear inverse problems and gained successful applicatio…