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}
}