Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization.

Mingyuan Cheng|Xinru Liao|Quan Liu|Bin Ma|Jian Xu|Bo Zheng


Anthology ID:DBLP:conf/sigir/ChengLLMXZ22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1802-1806
URL:https://doi.org/10.1145/3477495.3532011
DOI:https://doi.org/10.1145/3477495.3532011
DBLP:conf/sigir/ChengLLMXZ22
BibTeX:
@inproceedings{cheng-2022-learning, author = {Mingyuan Cheng and Xinru Liao and Quan Liu and Bin Ma and Jian Xu and Bo Zheng}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {1802--1806}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3532011}, doi = {https://doi.org/10.1145/3477495.3532011} }