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Chunqiu xia

2 accepted papers

2026

ATLAS: Alibaba Dataset and Benchmark for Learning-Augmented Scheduling

ICLR 2026poster

Learning-augmented scheduling uses ML predictions to improve decision-making under uncertainty. Many algorithms in this class have been proposed with better theoretical guarantees than the classic methods. Translating these theoretical results into practice, however, requires an understanding of rea…

Cited by 0SourcecodeScholar
2025

Competitive Fair Scheduling with Predictions

ICLR 2025poster

Beyond the worst-case analysis of algorithms, the learning-augmented framework considers that an algorithm can leverage possibly imperfect predictions about the unknown variables to have guarantees tied to the prediction quality. We consider online non-clairvoyant scheduling to minimize the max-stre…

Cited by 0SourcePDFScholar