Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding.
Shiv Kumar Saini|Sunny Dhamnani|Aakash Srinivasan|Akil Arif Ibrahim|Prithviraj Chavan
| Anthology ID: | DBLP:conf/www/SainiDAIC19 |
|---|---|
| Volume: | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1601-1611 |
| URL: | https://doi.org/10.1145/3308558.3313744 |
| DOI: | https://doi.org/10.1145/3308558.3313744 |
| DBLP: | conf/www/SainiDAIC19 |
| BibTeX: |
@inproceedings{saini-2019-multiple,
author = {Shiv Kumar Saini and
Sunny Dhamnani and
Aakash Srinivasan and
Akil Arif Ibrahim and
Prithviraj Chavan},
editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{Multiple Treatment Effect Estimation using Deep Generative Model with Task Embedding}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {1601--1611},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3313744},
doi = {https://doi.org/10.1145/3308558.3313744}
}