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Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale

Summary: Hyper-Tune is a distributed hyper-parameter tuning system for scalable ML. Automatic resource allocation, asynchronous scheduling, and a multi-fidelity optimizer give 11.2x/5.1x speedups vs BOHB/A-BOHB on XGBoost, CNNs, RNNs, and neural architectures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12634
Venue
VLDB
Year
2022
Pagerank
4.3765131e-05
Overall Rank
9,192 | 36.06%
DOI
10.14778/3514061.3514071

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