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Efficient Online Linear Optimization with Approximation Algorithms

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Publication:4991673
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DOI10.1287/moor.2020.1053OpenAlexW3092656196MaRDI QIDQ4991673

Dan Garber

Publication date: 3 June 2021

Published in: Mathematics of Operations Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.03093


zbMATH Keywords

online algorithmsonline learningapproximation algorithmsregret minimizationonline linear optimization


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation algorithms (68W25)





Cites Work

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  • The ellipsoid method and its consequences in combinatorial optimization
  • Efficient algorithms for online decision problems
  • Combinatorial Online Prediction via Metarounding
  • Playing Games with Approximation Algorithms
  • Adaptive routing with end-to-end feedback
  • A Greedy Heuristic for the Set-Covering Problem
  • A linear-time approximation algorithm for the weighted vertex cover problem
  • Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
  • Computing correlated equilibria in multi-player games




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