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We propose the orthogonal random forest, an algorithm that combines Neyman-orthogonality to reduce sensitivity with respect to estimation error of nuisance parameters with generalized random forests (Athey et al., 2017)--a flexible non-parametric method for statistical estimation of conditional moment models using random forests.
Probability inequalities for sums of bounded random variables
Hoeffding, W · 1963
Earlier work this paper cites.
Some results on generalized difference estimation and generalized regression estimation for finite populations
Cassel, C. M., Särndal, C. E., and Wretman, J. H · 1976
Earlier work this paper cites.
C( α \alpha ) tests and their use
Neyman, J · 1979
Earlier work this paper cites.
Root-n-consistent semiparametric regression
Robinson, P. M · 1988
Earlier work this paper cites.
16 efficient estimation of models with conditional moment restrictions
Newey, W. K · 1993
Earlier work this paper cites.
Semiparametric efficiency in multivariate regression models with missing data
Robins, J. M. and Rotnitzky, A · 1995
Earlier work this paper cites.
Efficient estimation of models with conditional moment restrictions containing unknown functions
Ai, C. and Chen, X · 2003
Earlier work this paper cites.
Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
Kang, J. D., Schafer, J. L., et al · 2007
Earlier work this paper cites.
Chapter 64 structural econometric modeling: Rationales and examples from industrial organization
Reiss, P. C. and Wolak, F. A · 2007
Earlier work this paper cites.
Standard errors for bagged and random forest estimators
Sexton, J. and Laake, P · 2008
Earlier work this paper cites.
Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals
Chen, X. and Pouzo, D · 2009
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Empirical bernstein inequalities for u-statistics
Peel, T., Anthoine, S., and Ralaivola, L · 2010
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Constrained Conditional Moment Restriction Models
Chernozhukov, V., Newey, W. K., and Santos, A · 2015
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Statistical Learning with Sparsity: The Lasso and Generalizations
Hastie, T., Tibshirani, R., and Wainwright, M · 2015
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Imbens, G. W. and Rubin, D. B · 2015
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Counterfactual risk minimization: Learning from logged bandit feedback
Off-policy evaluation for slate recommendation
Swaminathan, A., Krishnamurthy, A., Agarwal, A., Dudík, M., Langford, J., Jose, D., and Zitouni, I · 2016
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Generalized Random Forests
Athey, S., Tibshirani, J., and Wager, S · 2017
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Double/debiased/neyman machine learning of treatment effects
Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., and Newey, W · 2017
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Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels
Chernozhukov, V., Goldman, M., Semenova, V., and Taddy, M · 2017
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Learning Objectives for Treatment Effect Estimation
Nie, X. and Wager, S · 2017
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Some methods for heterogeneous treatment effect estimation in high-dimensions
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Swaminathan, A. and Joachims, T · 2015
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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Wager, S. and Athey, S · 2015
Cited alongside, same era.
Locally Robust Semiparametric Estimation
Chernozhukov, V., Escanciano, J. C., Ichimura, H., Newey, W. K., and Robins, J. M · 2016
Cited alongside, same era.
Counterfactual Prediction with Deep Instrumental Variables Networks
Hartford, J., Lewis, G., Leyton-Brown, K., and Taddy, M · 2016
Cited alongside, same era.
Quantifying uncertainty in random forests via confidence intervals and hypothesis tests
Mentch, L. and Hooker, G · 2016
Cited alongside, same era.
Powers, S., Qian, J., Jung, K., Schuler, A., Shah, N. H., Hastie, T., and Tibshirani, R · 2017
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Optimal and adaptive off-policy evaluation in contextual bandits
Wang, Y.-X., Agarwal, A., and Dudík, M · 2017
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Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models
Chernozhukov, V., Nekipelov, D., Semenova, V., and Syrgkanis, V · 2018
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grf: Generalized Random Forests (Beta) , 2018
Tibshirani, J., Athey, S., Wager, S., Friedberg, R., Miner, L., and Wright, M · 2018
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