Deep Learning-Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence
- Zikun Ye ,
Zikun Ye
[email protected]https://orcid.org/0000-0001-9914-7966
Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
- Zhiqi Zhang ,
Zhiqi Zhang
[email protected]https://orcid.org/0009-0005-4566-8148
Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130
- Dennis J. Zhang ,
Dennis J. Zhang
[email protected]https://orcid.org/0000-0002-4544-775X
Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130
- Heng Zhang ,
Heng Zhang
[email protected]https://orcid.org/0000-0002-6105-6994
W. P. Carey School of Business, Arizona State University, Tempe, Arizona 85287
- Renyu Zhang
Corresponding Author
Renyu Zhang
[email protected]https://orcid.org/0000-0003-0284-164X
Chinese University of Hong Kong Business School, The Chinese University of Hong Kong, Hong Kong, China
Zikun Ye
[email protected]https://orcid.org/0000-0001-9914-7966
Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
Zhiqi Zhang
[email protected]https://orcid.org/0009-0005-4566-8148
Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130
Dennis J. Zhang
[email protected]https://orcid.org/0000-0002-4544-775X
Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130
Heng Zhang
[email protected]https://orcid.org/0000-0002-6105-6994
W. P. Carey School of Business, Arizona State University, Tempe, Arizona 85287
Corresponding Author
Renyu Zhang
[email protected]https://orcid.org/0000-0003-0284-164X
Chinese University of Hong Kong Business School, The Chinese University of Hong Kong, Hong Kong, China
Supplemental Material
The replication files for this article are available HERE.
