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.) CitationHuang, 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.) CitationHuang, 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.