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math.OC2022
An Efficient Alternating Riemannian/Projected Gradient Descent Ascent Algorithm for Fair Principal Component Analysis
Meng Xu, Bo Jiang, Wenqiang Pu +2
Fair principal component analysis (FPCA), a ubiquitous dimensionality reduction technique in signal processing and machine learning, aims to find a low-dimensional representation f…
math.OC2022★ 2 cited
On the Iteration Complexity of Smoothed Proximal ALM for Nonconvex Optimization Problem with Convex Constraints
Jiawei Zhang, Wenqiang Pu, Zhi-Quan Luo
It is well-known that the lower bound of iteration complexity for solving nonconvex unconstrained optimization problems is , which can be achieved by standard gradient de…
eess.SP2022
Counterfactual Regret Minimization for Anti-jamming Game of Frequency Agile Radar
Huayue Li, Zhaowei Han, Wenqiang Pu +3
The competition between radar and jammer is one emerging issue in modern electronic warfare, which in principle can be viewed as a non-cooperative game with two players. In this wo…