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Budget Allocation in Multi-Task Hyperparameter Optimization

Published • Oct 14, 2025
NobleIDNI4P57W22R04S72
Authors:
Yeonwoo Cho
,
Jonghyeon Won
,
Hyun-Suk Lee

Abstract

In hyperparameter optimization (HPO), efficient use of a limited budget has become crucial as the training cost of machine learning (ML) models continues to increase. Recent applications like open radio access network (O-RAN) and sensor-based platforms run multiple ML models simultaneously, making e...

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