Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang 0001. SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. In Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV. Volume 13716 of Lecture Notes in Computer Science, pages 400-417, Springer, 2022. [doi]
@inproceedings{HuangMLSC22, title = {SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training}, author = {Qiang Huang and Jing Ma and Jundong Li and Huiyan Sun and Yi Chang 0001}, year = {2022}, doi = {10.1007/978-3-031-26412-2_25}, url = {https://doi.org/10.1007/978-3-031-26412-2_25}, researchr = {https://researchr.org/publication/HuangMLSC22}, cites = {0}, citedby = {0}, pages = {400-417}, booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV}, editor = {Massih-Reza Amini and Stéphane Canu and Asja Fischer and Tias Guns and Petra Kralj Novak and Grigorios Tsoumakas}, volume = {13716}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-031-26412-2}, }