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An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

A new gradient descent algorithm with adaptive randomness is proposed for global optimization of nonconvex problems, proving its effectiveness and stability with numerical examples.

Featured in No. 107 on 25 Jul 2025 · · 6 citations today · published in Communications in Mathematical Sciences

Released
12 Apr 2022
First featured
No. 107 · 25 Jul 2025
Citations (Semantic Scholar)
6
Influential citations
1
Published in
Communications in Mathematical Sciences
Shares when featured
28
Identifier
doi:10.4310/cms.250607105334

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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