Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction.

Shuxi Zeng|Murat Ali Bayir|Joseph J. Pfeiffer III|Denis Charles|Emre Kiciman


Anthology ID:DBLP:conf/wsdm/ZengBPCK21
Volume:WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
Year:2021
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:211-219
URL:https://doi.org/10.1145/3437963.3441722
DOI:https://doi.org/10.1145/3437963.3441722
DBLP:conf/wsdm/ZengBPCK21
BibTeX:
@inproceedings{zeng-2021-causal, author = {Shuxi Zeng and Murat Ali Bayir and Joseph J. Pfeiffer III and Denis Charles and Emre Kiciman}, editor = {Liane Lewin-Eytan and David Carmel and Elad Yom-Tov and Eugene Agichtein and Evgeniy Gabrilovich}, title = {{Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction}}, booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}}, pages = {211--219}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3437963.3441722}, doi = {https://doi.org/10.1145/3437963.3441722} }