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Zheng, Tianqi, Loizou, Nicolas, You, Pengcheng, and Mallada, Enrique. Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-Max Optimization. Retrieved from https://par.nsf.gov/biblio/10557884. IEEE Control Systems Letters 8. Web. doi:10.1109/LCSYS.2024.3413004.
Zheng, Tianqi, Loizou, Nicolas, You, Pengcheng, & Mallada, Enrique. Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-Max Optimization. IEEE Control Systems Letters, 8 (). Retrieved from https://par.nsf.gov/biblio/10557884. https://doi.org/10.1109/LCSYS.2024.3413004
Zheng, Tianqi, Loizou, Nicolas, You, Pengcheng, and Mallada, Enrique.
"Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-Max Optimization". IEEE Control Systems Letters 8 (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/LCSYS.2024.3413004.https://par.nsf.gov/biblio/10557884.
@article{osti_10557884,
place = {Country unknown/Code not available},
title = {Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-Max Optimization},
url = {https://par.nsf.gov/biblio/10557884},
DOI = {10.1109/LCSYS.2024.3413004},
abstractNote = {},
journal = {IEEE Control Systems Letters},
volume = {8},
publisher = {IEEE},
author = {Zheng, Tianqi and Loizou, Nicolas and You, Pengcheng and Mallada, Enrique},
}
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