Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality - researchr publication authors

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Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui. Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality. In Aidong Zhang, Huzefa Rangwala, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pages 1031-1041, ACM, 2022. [doi]

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