APA (7th ed.) Citation

Luo, Y., Li, X., & Zhang, A. R. (2021). Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization.

Chicago Style (17th ed.) Citation

Luo, Yuetian, Xudong Li, and Anru R. Zhang. Nonconvex Factorization and Manifold Formulations Are Almost Equivalent in Low-rank Matrix Optimization. 2021.

MLA (9th ed.) Citation

Luo, Yuetian, et al. Nonconvex Factorization and Manifold Formulations Are Almost Equivalent in Low-rank Matrix Optimization. 2021.