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Russell Lee

2 accepted papers

2023

Applied Online Algorithms with Heterogeneous Predictors

ICML 2023poster

For many application domains, the integration of machine learning (ML) models into decision making is hindered by the poor explainability and theoretical guarantees of black box models. Although the emerging area of algorithms with predictions offers a way to leverage ML while enjoying worst-case gu…

Cited by 7SourcePDFScholar
2021

Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems

NeurIPS 2021poster

This paper leverages machine-learned predictions to design competitive algorithms for online conversion problems with the goal of improving the competitive ratio when predictions are accurate (i.e., consistency), while also guaranteeing a worst-case competitive ratio regardless of the prediction qua…

Cited by 39SourcePDFScholar