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} }