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Minimax Linear Estimation of the Retargeted Mean

Minimax Linear Estimation of the Retargeted Mean

11 January 2019
David A. Hirshberg
A. Maleki
J. Zubizarreta
    CML
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Papers citing "Minimax Linear Estimation of the Retargeted Mean"

7 / 7 papers shown
Title
Stabilized Inverse Probability Weighting via Isotonic Calibration
Stabilized Inverse Probability Weighting via Isotonic Calibration
L. Laan
Ziming Lin
M. Carone
Alex Luedtke
33
2
0
10 Nov 2024
Scalable kernel balancing weights in a nationwide observational study of
  hospital profit status and heart attack outcomes
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes
Kwangho Kim
B. Niknam
J. Zubizarreta
22
2
0
01 Nov 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Kaizheng Wang
26
10
0
20 Feb 2023
Kernel-based off-policy estimation without overlap: Instance optimality
  beyond semiparametric efficiency
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency
Wenlong Mou
Peng Ding
Martin J. Wainwright
Peter L. Bartlett
OffRL
14
10
0
16 Jan 2023
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
L. Han
Jue Hou
Kelly Cho
R. Duan
Tianxi Cai
CML
FedML
CVBM
26
32
0
17 Dec 2021
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh
Liyuan Xu
A. Gretton
32
3
0
06 Nov 2021
Kernel Methods for Causal Functions: Dose, Heterogeneous, and
  Incremental Response Curves
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves
Rahul Singh
Liyuan Xu
A. Gretton
OffRL
53
26
0
10 Oct 2020
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