SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.

Liuyi Yao|Yaliang Li|Sheng Li|Mengdi Huai|Jing Gao|Aidong Zhang


Anthology ID:DBLP:conf/cikm/YaoLLHGZ21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3583-3587
URL:https://doi.org/10.1145/3459637.3482175
DOI:https://doi.org/10.1145/3459637.3482175
DBLP:conf/cikm/YaoLLHGZ21
BibTeX:
@inproceedings{yao-2021-sci, author = {Liuyi Yao and Yaliang Li and Sheng Li and Mengdi Huai and Jing Gao and Aidong Zhang}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {3583--3587}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482175}, doi = {https://doi.org/10.1145/3459637.3482175} }