• Corpus ID: 251741575

# Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves

@inproceedings{Singh2020KernelMF,
title={Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves},
author={Rahul Singh and Liyuan Xu and Arthur Gretton},
year={2020}
}
• Published 10 October 2020
• Computer Science, Mathematics
We propose estimators based on kernel ridge regression for nonparametric causal functions such as dose, heterogeneous, and incremental response curves. Treatment and covariates may be discrete or continuous in general spaces. Due to a decomposition property speciﬁc to the RKHS, our estimators have simple closed form solutions. We prove uniform consistency with ﬁnite sample rates via original analysis of generalized kernel ridge regression. We extend our main results to counterfactual…
2 Citations

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