Automatic Debiased Machine Learning via Riesz Regression

[author] Foster, Dylan JD. J. and Syrgkanis, VasilisV. (2019). Orthogonal Statistical Learning. arXiv preprint, arXiv:1901.09036

Original

1901

Earlier work this paper cites.

[author] Horvitz, Daniel GD. G. and Thompson, Donovan JD. J. (1952). A generalization of sampling without replacement from a finite universe. Journal of the American statistical Association 47 663–685

1952

Earlier work this paper cites.

[author] Nelder, John AshworthJ. A. and Wedderburn, Robert WMR. W. (1972). Generalized linear models. Journal of the Royal Statistical Society: Series A (General) 135 370–384

1972

Earlier work this paper cites.

[author] Levit, Boris YaB. Y. (1975). On efficiency of a class of non-parametric estimates. Teoriya Veroyatnostei i ee Primeneniya 20 738–754

1975

Earlier work this paper cites.

Hasminskii, R. Z

1978

Earlier work this paper cites.

[author] Rosenbaum, Paul RP. R. and Rubin, Donald BD. B. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika 70 41–55

1983

Earlier work this paper cites.

[author] Bickel, Peter JP. J. and Ritov, YaacovY. (1988). Estimating integrated squared density derivatives: sharp best order of convergence estimates. Sankhyā: The Indian Journal of Statistics, Series A 381–393

1988

Earlier work this paper cites.

[author] Van Der Vaart, AadA. (1991). On differentiable functionals. The Annals of Statistics 178–204

1991

Earlier work this paper cites.

[author] Bickel, Peter JP. J., Klaassen, Chris AJC. A., Ritov, Ya’acovY. and Wellner, Jon AJ. A. (1993). Efficient and adaptive estimation for semiparametric models 4. Springer

1993

Earlier work this paper cites.

[author] Newey, Whitney K.W. K. (1994). The Asymptotic Variance of Semiparametric Estimators. Econometrica 62 1349–1382

1994

Earlier work this paper cites.

[author] Robins, James MJ. M. and Rotnitzky, AndreaA. (1995). Semiparametric efficiency in multivariate regression models with missing data. Journal of the American Statistical Association 90 122–129

1995

Earlier work this paper cites.

[author] Munnell, Alicia HA. H., Tootell, Geoffrey MBG. M., Browne, Lynn EL. E. and McEneaney, JamesJ. (1996). Mortgage lending in Boston: Interpreting HMDA data. The American Economic Review 25–53

1996

Earlier work this paper cites.

[author] Chen, XiaohongX. and White, HalbertH. (1999). Improved rates and asymptotic normality for nonparametric neural network estimators. IEEE Transactions on Information Theory 45 682–691

1999

Cited alongside, same era.

[author] Van der Vaart, Aad WA. W. (2000). Asymptotic Statistics 3. Cambridge university press

2000

Cited alongside, same era.

[author] Newey, Whitney KW. K., Hsieh, FushingF. and Robins, James MJ. M. (2004). Twicing kernels and a small bias property of semiparametric estimators. Econometrica 72 947–962

2004

Cited alongside, same era.

[author] Van Der Laan, Mark JM. J. and Rubin, DanielD. (2006). Targeted maximum likelihood learning. The International Journal of Biostatistics 2

2006

Cited alongside, same era.

[author] Bickel, Peter J.P. J., Ritov, Ya’acovY. and Tsybakov, Alexandre B.A. B. (2009). Simultaneous analysis of Lasso and Dantzig selector. The Annals of Statistics 37 1705 – 1732. 10.1214/08-AOS620

[author] Chernozhukov, VictorV., Newey, WhitneyW. and Singh, RahulR. (2019). De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers. 10.48550/ARXIV.1802.08667

2019

Later among the works it cites.

[author] Chernozhukov, VictorV., Newey, WhitneyW., Singh, RahulR. and Syrgkanis, VasilisV. (2020). Adversarial Estimation of Riesz Representers. arXiv preprint arXiv:2101.00009

Original

2020

Later among the works it cites.

[author] Schmidt-Hieber, JohannesJ. (2020). Nonparametric Regression Using Deep Neural Networks with ReLU Activation Function. The Annals of Statistics 48 1875–1897

2020

Later among the works it cites.

Syrgkanis, V

2020

Later among the works it cites.

[author] Hirshberg, David A.D. A. and Wager, StefanS. (2021). Augmented minimax linear estimation. The Annals of Statistics 49 3206 – 3227. 10.1214/21-AOS2080