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Yupeng Lu

2 accepted papers

2026

PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning

AAAI 2026technical

The Combined Algorithm Selection and Hyperparameter Optimization (CASH) problem is fundamental in Automated Machine Learning (AutoML). Inspired by the success of ensemble learning, recent AutoML systems construct post-hoc ensembles for final predictions rather than relying on the best single model.

Cited by 0SourcePDFScholar
2022

DivBO: Diversity-aware CASH for Ensemble Learning

NeurIPS 2022accept

The Combined Algorithm Selection and Hyperparameters optimization (CASH) problem is one of the fundamental problems in Automated Machine Learning (AutoML). Motivated by the success of ensemble learning, recent AutoML systems build post-hoc ensembles to output the final predictions instead of using t…

Cited by 6SourcePDFScholar