Prediction Guardian: A Distribution-based Real-time Anomaly Detection and Mitigation Framework for Online Advertising.
Gaurav Nagar|Yang Jin|Heesuk Son|Mohit Asudani|Shubham Chandra Gupta|Xing Zhang|Kestutis Patiejunas|Atul Goyal|Huan Guo|Jing Maggie Ma|Yijia Liu|Yi Meng|Bilal Fadlallah
| Anthology ID: | DBLP:conf/www/NagarJSAGZPGGML26 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026 |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1190-1198 |
| URL: | https://doi.org/10.1145/3774905.3796194 |
| DOI: | https://doi.org/10.1145/3774905.3796194 |
| DBLP: | conf/www/NagarJSAGZPGGML26 |
| BibTeX: |
@inproceedings{nagar-2026-prediction,
author = {Gaurav Nagar and
Yang Jin and
Heesuk Son and
Mohit Asudani and
Shubham Chandra Gupta and
Xing Zhang and
Kestutis Patiejunas and
Atul Goyal and
Huan Guo and
Jing Maggie Ma and
Yijia Liu and
Yi Meng and
Bilal Fadlallah},
title = {{Prediction Guardian: A Distribution-based Real-time Anomaly Detection and Mitigation Framework for Online Advertising}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026}},
pages = {1190--1198},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774905.3796194},
doi = {https://doi.org/10.1145/3774905.3796194}
}