A game-theoretic perspective of deep neural networks

DOI10.1016/j.tcs.2022.09.035OpenAlexW4306154912MaRDI QIDQ2098170

Wen-Qing Xu, Chunying Ren, Da-Chuan Xu, Zi-jun Wu

Publication date: 17 November 2022

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2022.09.035

zbMATH Keywords

local minimadeep neural networkswardrop equilibrianon-atomic congestion game

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Applications of game theory (91A80)

Uses Software

• darch

Cites Work

• Generic Uniqueness of Equilibrium in Large Crowding Games
• Reducing the Dimensionality of Data with Neural Networks
• How bad is selfish routing?
• Some NP-complete problems in quadratic and nonlinear programming
• An Introduction to Variational Inequalities and Their Applications
• 10.1162/1532443041827880
• Selfishness Need Not Be Bad
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