Identifiable Disentangled Representation Learning for Causal Inference under Network Interference.

Di Fan|Chuanhou Gao


Anthology ID:DBLP:conf/wsdm/FanG26
Volume:Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
Year:2026
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:142-152
URL:https://doi.org/10.1145/3773966.3777967
DOI:https://doi.org/10.1145/3773966.3777967
DBLP:conf/wsdm/FanG26
BibTeX:
@inproceedings{fan-2026-identifiable, author = {Di Fan and Chuanhou Gao}, title = {{Identifiable Disentangled Representation Learning for Causal Inference under Network Interference}}, booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}}, pages = {142--152}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3773966.3777967}, doi = {https://doi.org/10.1145/3773966.3777967} }