APA (7th ed.) Citation

Rafique, H., Liu, M., Lin, Q., & Yang, T. (2022). Weakly-convex–concave min–max optimization: Provable algorithms and applications in machine learning. Optimization Methods & Software, 37(3), 1087. https://doi.org/10.1080/10556788.2021.1895152

Chicago Style (17th ed.) Citation

Rafique, Hassan, Mingrui Liu, Qihang Lin, and Tianbao Yang. "Weakly-convex–concave Min–max Optimization: Provable Algorithms and Applications in Machine Learning." Optimization Methods & Software 37, no. 3 (2022): 1087. https://doi.org/10.1080/10556788.2021.1895152.

MLA (9th ed.) Citation

Rafique, Hassan, et al. "Weakly-convex–concave Min–max Optimization: Provable Algorithms and Applications in Machine Learning." Optimization Methods & Software, vol. 37, no. 3, 2022, p. 1087, https://doi.org/10.1080/10556788.2021.1895152.