Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning.

Ahmet Kapkiç|Pratanu Mandal|Shu Wan|Paras Sheth|Abhinav Gorantla|Yoonhyuk Choi|Huan Liu|K. Selçuk Candan


Anthology ID:DBLP:conf/cikm/KapkicM0SGC0C24
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:5220-5224
URL:https://doi.org/10.1145/3627673.3679218
DOI:https://doi.org/10.1145/3627673.3679218
DBLP:conf/cikm/KapkicM0SGC0C24
BibTeX:
@inproceedings{kapkic-2024-introducing, author = {Ahmet Kapki\c{c} and Pratanu Mandal and Shu Wan and Paras Sheth and Abhinav Gorantla and Yoonhyuk Choi and Huan Liu and K. Sel\c{c}uk Candan}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {5220--5224}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679218}, doi = {https://doi.org/10.1145/3627673.3679218} }