Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects.

Dong Yao|Caizhi Tang|Qing Cui|Longfei Li


Anthology ID:DBLP:conf/cikm/YaoTCL24
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2961-2970
URL:https://doi.org/10.1145/3627673.3679593
DOI:https://doi.org/10.1145/3627673.3679593
DBLP:conf/cikm/YaoTCL24
BibTeX:
@inproceedings{yao-2024-combining, author = {Dong Yao and Caizhi Tang and Qing Cui and Longfei Li}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {2961--2970}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679593}, doi = {https://doi.org/10.1145/3627673.3679593} }