Machine Learning Methods Economists Should Know About
Guido Imbens arXiv:1903.10075 March 24, 2019 URL: https://arxiv.org/abs/1903.10075
Guido Imbens arXiv:1903.10075 March 24, 2019 URL: https://arxiv.org/abs/1903.10075
Julie Tibshirani, Stefan Wager Annals of Statistics, January 2019, Vol. 47, Issue 2; pp. 1148-1178 URL: https://projecteuclid.org/euclid.aos/1547197251
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn, Yinyu Ye 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada. URL: http://papers.nips.cc/paper/7760-learning-in-games-with-lossy-feedback.pdf
Zhengyuan Zhou, Stefan Wager arXiv:1810.04778 October 10, 2018 URL: https://arxiv.org/abs/1810.04778
Stefan Wager Journal of the American Statistical Association, 2018, 1-15 URL: https://www.tandfonline.com/doi/full/10.1080/01621459.2017.1319839
Kun Kuang, Ruoxuan Xiong, Peng Cui, Bo Li KDD 2018: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. arXiv:1806.06270 June 16, 2018 URL: https://arxiv.org/abs/1806.06270
David Blei, Robert Donnelly, Francisco Ruiz, Tobias Schmidt American Economic Review Papers and Proceedings, May 2018: Vol .108, pp. 64-67 URL: https://www.aeaweb.org/articles?id=10.1257/pandp.20181031
Guido W. Imbens, Stefan Wager Journal of the Royal Statistical Society-Series B, February 2018, Vol 80, Issue 4, pp. 597-623 URL: https://doi.org/10.1111/rssb.12268
Maria Dimakopoulou, Guido Imbens arXiv:1711.07077 March 2, 2018 URL: https://arxiv.org/abs/1711.07077
Forthcoming in book: The Economics of Artificial Intelligence: An Agenda URL: http://www.nber.org/chapters/c14009.pdf