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2024 ICML ICML 2024

Parsimonious Learning-Augmented Approximations for Dense Instances of NP-hard Problems

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Science and Mathematics & Optimization

Authors

Evripidis Bampis, Bruno Escoffier, Michalis Xefteris

Topics

Machine Learning > Optimization & Theory > Optimization Mathematics & Optimization > Optimization > Combinatorial Optimization Computer Science > Foundations > Algorithms

Keywords

approximation algorithm prediction error optimization problem dense instances learning-augmented framework parsimonious predictions
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