APA (7th ed.) Citation

Huang, K., Liu, M., & Ma, S. (2025). Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss. Neural Computation, 37(4), 815. https://doi.org/10.1162/neco_a_01742

Chicago Style (17th ed.) Citation

Huang, Ke, Mingming Liu, and Shujie Ma. "Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss." Neural Computation 37, no. 4 (2025): 815. https://doi.org/10.1162/neco_a_01742.

MLA (9th ed.) Citation

Huang, Ke, et al. "Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss." Neural Computation, vol. 37, no. 4, 2025, p. 815, https://doi.org/10.1162/neco_a_01742.

Warning: These citations may not always be 100% accurate.