Primo: Practical Learning-Augmented Systems with Interpretable Models

Authors: 

Qinghao Hu, Nanyang Technological University; Harsha Nori, Microsoft; Peng Sun, SenseTime; Yonggang Wen and Tianwei Zhang, Nanyang Technological University

BibTeX
@inproceedings {280788,
title = {Primo: Practical {Learning-Augmented} Systems with Interpretable Models},
booktitle = {2022 USENIX Annual Technical Conference (USENIX ATC 22)},
year = {2022},
address = {Carlsbad, CA},
url = {https://www.usenix.org/conference/atc22/presentation/hu},
publisher = {USENIX Association},
month = jul,
}