Online metric algorithms with untrusted predictions

Machine-learned predictors, although achieving very good results for inputs resembling training data, cannot possibly provide perfect predictions in all situations. Still, decision-making systems that are based on such predictors need not only benefit from good predictions, but should also achieve a...

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Bibliographic Details
Main Authors: Antoniadis, A, Coester, C, Elias, M, Polak, A, Simon, B
Format: Journal article
Language:English
Published: Association for Computing Machinery 2023