Econometric Theory and Machine Learning

Peter J Bickel, Aiyou Chen, Guido W. Imbens, Michael Pollmann Working Paper, arXiv:2109.02603 September 2021 URL: https://arxiv.org/abs/2109.02603

Guido Imbens Observational Studies, Volume 7, Issue 1, July 2021 July 2021 URL: https://muse.jhu.edu/article/799753

Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein arXiv:2107.11732 August 2021 URL: https://arxiv.org/abs/2107.11732

Ruohan Zhan, Vitor Hadad, David A. Hirshberg arXiv:2106.02029 June 2021 URL: https://arxiv.org/abs/2106.02029

Jake M. Hofman, Duncan J. Watts Nature (2021). https://doi.org/10.1038/s41586-021-03659-0. June 2021 URL: https://www.nature.com/articles/s41586-021-03659-0

Ruohan Zhan, Zhimei Ren, Zhengyuan Zhou arXiv:2105.02344 May 2021 URL: https://arxiv.org/abs/2105.02344

Guido Imbens Journal of Econometrics, Advanced online April 21, 2021 April 21, 2021 URL: https://www.sciencedirect.com/science/article/abs/pii/S0304407621000488?via%3Dihub

Guido Imbens, Jonas Metzger, Evan Munro Journal of Econometrics, Advanced online March 20, 2021 March 20, 2021 URL: https://www.sciencedirect.com/science/article/abs/pii/S0304407621000440?via%3Dihub

Hadad, Vitor, David A. Hirshberg, Ruohan Zhan, Stefan Wager, and Susan Athey Proceedings of the National Academy of Sciences 118, no. 15 (2021). February 12, 2021 URL: https://arxiv.org/abs/1911.02768

Sanath Kumar Krishnamurthy, Vitor Hadad arXiv:2102.13240 February 26, 2021 URL: https://arxiv.org/abs/2102.13240