Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions.
Hongseon Yeom|Jaeyoul Shin|Soojin Min|Jeongmin Yoon|Seunghak Yu|Dongyeop Kang
| Anthology ID: | DBLP:conf/wsdm/YeomSMYYK26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 840-849 |
| URL: | https://doi.org/10.1145/3773966.3778011 |
| DOI: | https://doi.org/10.1145/3773966.3778011 |
| DBLP: | conf/wsdm/YeomSMYYK26 |
| BibTeX: |
@inproceedings{yeom-2026-breaking,
author = {Hongseon Yeom and
Jaeyoul Shin and
Soojin Min and
Jeongmin Yoon and
Seunghak Yu and
Dongyeop Kang},
title = {{Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {840--849},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3778011},
doi = {https://doi.org/10.1145/3773966.3778011}
}