2022
Parsimonious Learning-Augmented Caching
ICML 2022spotlight
Learning-augmented algorithms—in which, traditional algorithms are augmented with machine-learned predictions—have emerged as a framework to go beyond worst-case analysis. The overarching goal is to design algorithms that perform near-optimally when the predictions are accurate yet retain certain wo…