CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.

Paras Sheth|Ujun Jeong|Ruocheng Guo|Huan Liu|K. Selçuk Candan


Anthology ID:DBLP:conf/cikm/ShethJGLC21
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:4789-4793
URL:https://doi.org/10.1145/3459637.3481974
DOI:https://doi.org/10.1145/3459637.3481974
DBLP:conf/cikm/ShethJGLC21
BibTeX:
@inproceedings{sheth-2021-causebox, author = {Paras Sheth and Ujun Jeong and Ruocheng Guo and Huan Liu and K. Sel\c{c}uk Candan}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {4789--4793}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3481974}, doi = {https://doi.org/10.1145/3459637.3481974} }