Kernel Ridge Riesz Representers: Generalization, Mis-specification, and
the Counterfactual Effective Dimension

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Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension

22 February 2021

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Papers citing "Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension"

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Title
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects Khiem Pham David A. Hirshberg Phuong-Mai Huynh-Pham Michele Santacatterina Ser-Nam Lim Ramin Zabih 189 1 0 01 Oct 2023
Augmented balancing weights as linear regression David Bruns-Smith O. Dukes Avi Feller Elizabeth L. Ogburn 275 25 0 27 Apr 2023
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 210 99 0 13 Dec 2022
A Simple and General Debiased Machine Learning Theorem with Finite Sample GuaranteesBiometrika (Biometrika), 2021 Victor Chernozhukov Whitney Newey Rahul Singh FedML 181 29 0 31 May 2021
Automatic Debiased Machine Learning via Riesz Regression Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis OOD CML 236 21 0 30 Apr 2021
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 AmirEmad Ghassami Andrew Ying I. Shpitser E. T. Tchetgen 242 47 0 07 Apr 2021