MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
Quanyu Dai|Jiaren Xiao|Zhaocheng Du|Jieming Zhu|Chengxiao Luo|Xiao-Ming Wu|Zhenhua Dong
| Anthology ID: | DBLP:conf/www/DaiXDZL0D25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4408-4419 |
| URL: | https://doi.org/10.1145/3696410.3714802 |
| DOI: | https://doi.org/10.1145/3696410.3714802 |
| DBLP: | conf/www/DaiXDZL0D25 |
| BibTeX: |
@inproceedings{dai-2025-mcnet,
author = {Quanyu Dai and
Jiaren Xiao and
Zhaocheng Du and
Jieming Zhu and
Chengxiao Luo and
Xiao-Ming Wu and
Zhenhua Dong},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {4408--4419},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714802},
doi = {https://doi.org/10.1145/3696410.3714802}
}