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math.OC2026
A sequential smoothing majorant stochastic approximation method for nonconvex nonconcave minimax problems
Zhouxing Luo, Wei Liu, Xin Liu +1
We propose a sequential smoothing majorant stochastic approximation (SMSA) method for nonconvex-nonconcave minimax optimization problems. To overcome the nonconcavity of the inner…
math.OC2026
An Adaptive Smoothing Algorithm for Non-Lipschitz Optimization on Manifolds with Complexity Guarantees
Lei Wang, Xiaojun Chen
We study a class of optimization problems on Riemannian manifolds, where the objective function consists of a smooth term and quasi-norm type penalties with exponent …