Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank.

Stan Fris|Philipp Hager|Xin Fu|Philipp Hager|Xin Fu


Anthology ID:DBLP:conf/sigir/FrisH26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:358-368
URL:https://doi.org/10.1145/3805712.3809640
DOI:https://doi.org/10.1145/3805712.3809640
DBLP:conf/sigir/FrisH26
BibTeX:
@inproceedings{fris-2026-diagnosing, author = {Stan Fris and Philipp Hager and Xin Fu and Philipp Hager and Xin Fu}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Diagnosing Identifiability in Two-Tower Models for Unbiased Learning to Rank}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {358--368}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809640}, doi = {https://doi.org/10.1145/3805712.3809640} }