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Slide 15 text
Reference
• Bartlett, P. L., Long, P. M., Lugosi, G., and Tsigler, A. (2020), “Benign overfitting in linear
regression,” Proceedings of the National Academy of Sciences, 117, 30063–30070.
• Rubin, D. B. (1974), “Estimating causal effects of treatments in randomized and
nonrandomized studies,” Journal of Educational Psychology.
• Imbens, G. W. and Rubin, D. B. (2015), Causal Inference for Statistics, Social, and
Biomedical Sciences: An Introduction, Cambridge University Press.
• Künzel, S. R., Sekhon, J. S., Bickel, P. J., and Yu, B. (2019), “Metalearners for estimating
heterogeneous treatment
effects using machine learning,” Proceedings of the National Academy of Sciences.
• Tripuraneni, N., Adlam, B., and Pennington, J. (2021a), “Covariate Shift in High-Dimensional
Random Feature
Regression,”
— (2021b), “Overparameterization Improves Robustness to Covariate Shift in High
Dimensions,” in Conference on Neural Information Processing Systems.
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