Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng 0002, Jingren Zhou. One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. In Zachary Ives, Angela Bonifati, Amr El Abbadi, editors, SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022. pages 531-544, ACM, 2022. [doi]
@inproceedings{PengDW0Z22,
title = {One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees},
author = {Jinglin Peng and Bolin Ding and Jiannan Wang and Kai Zeng 0002 and Jingren Zhou},
year = {2022},
doi = {10.1145/3514221.3517900},
url = {https://doi.org/10.1145/3514221.3517900},
researchr = {https://researchr.org/publication/PengDW0Z22},
cites = {0},
citedby = {0},
pages = {531-544},
booktitle = {SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022},
editor = {Zachary Ives and Angela Bonifati and Amr El Abbadi},
publisher = {ACM},
isbn = {978-1-4503-9249-5},
}