May 28, 2022 · We employ rounding technique to propose a real-time version of SGD- (named SGD- ), which can iteratively calculate the -suffix averaging and has the same ...
Nov 20, 2024 · In particular, SGD-rα with biased gradient estimates can obtain sublinear convergence rate for strongly convex objectives. Numerical experiments on the ...
Oct 22, 2024 · In particular, SGD-rα with biased gradient estimates can obtain sublinear convergence rate for strongly convex objectives. Numerical ...
In particular, SGD-rα with biased gradient estimates can obtain sublinear convergence rate for strongly convex objectives. Numerical experiments on the ...
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Jianqi Luo, Jinlan Liu, Dongpo Xu , Huisheng Zhang: SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates. 1-8.
Jul 20, 2023 · SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates. Neurocomputing, 487:1–8,. 2022. Liangchen Luo, Yuanhao ...
SGD- r α : A real-time α -suffix averaging method for SGD with biased gradient estimates. Article. Feb 2022; NEUROCOMPUTING. Jianqi Luo · Jinlan Liu ...
SGD- rα : A real-time α -suffix averaging method for SGD with biased gradient estimates. Neurocomputing, Vol. 487 | 1 May 2022. Transmission Power Control for ...
... SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates, Neurocomputing 487 (2022) 1–8. Google Scholar. [26]. Ma, J., & Yarats, D ...
Luo, SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates, Neurocomputing, № 487, с. 1 https://doi.org/10.1016/j.neucom ...