UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation.
Zixuan Xu|Penghui Wei|Weimin Zhang|Shaoguo Liu|Liang Wang|Bo Zheng
| Anthology ID: | DBLP:conf/www/XuWZLWZ22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2078-2087 |
| URL: | https://doi.org/10.1145/3485447.3512081 |
| DOI: | https://doi.org/10.1145/3485447.3512081 |
| DBLP: | conf/www/XuWZLWZ22 |
| BibTeX: |
@inproceedings{xu-2022-ukd,
author = {Zixuan Xu and
Penghui Wei and
Weimin Zhang and
Shaoguo Liu and
Liang Wang and
Bo Zheng},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {2078--2087},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512081},
doi = {https://doi.org/10.1145/3485447.3512081}
}