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Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals
  with Application to Proximal Causal Inference

Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference

7 April 2021
AmirEmad Ghassami
Andrew Ying
I. Shpitser
E. T. Tchetgen
ArXivPDFHTML

Papers citing "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference"

14 / 14 papers shown
Title
Two-Stage Nuisance Function Estimation for Causal Mediation Analysis
Two-Stage Nuisance Function Estimation for Causal Mediation Analysis
AmirEmad Ghassami
AmirEmad Ghassami
46
1
0
31 Mar 2024
Doubly Robust Proximal Causal Learning for Continuous Treatments
Doubly Robust Proximal Causal Learning for Continuous Treatments
Yong Wu
Yanwei Fu
Shouyan Wang
Xinwei Sun
40
2
0
22 Sep 2023
Partial Identification of Causal Effects Using Proxy Variables
Partial Identification of Causal Effects Using Proxy Variables
AmirEmad Ghassami
I. Shpitser
E. T. Tchetgen
CML
40
8
0
10 Apr 2023
Asymptotic Theory for Doubly Robust Estimators with Continuous-Time
  Nuisance Parameters
Asymptotic Theory for Doubly Robust Estimators with Continuous-Time Nuisance Parameters
Andrew Ying
36
1
0
13 Feb 2023
Proximal Causal Learning of Conditional Average Treatment Effects
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup
Yifan Cui
CML
44
4
0
26 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning
Optimal Treatment Regimes for Proximal Causal Learning
Tao Shen
Yifan Cui
CML
45
3
0
19 Dec 2022
Inference on Strongly Identified Functionals of Weakly Identified
  Functions
Inference on Strongly Identified Functionals of Weakly Identified Functions
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
52
15
0
17 Aug 2022
Deep Learning Methods for Proximal Inference via Maximum Moment
  Restriction
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Benjamin Kompa
David R. Bellamy
Thomas Kolokotrones
J. M. Robins
Andrew L. Beam
41
13
0
19 May 2022
Proximal Causal Inference for Marginal Counterfactual Survival Curves
Proximal Causal Inference for Marginal Counterfactual Survival Curves
Andrew Ying
Yifan Cui
E. T. Tchetgen
56
10
0
27 Apr 2022
Combining Experimental and Observational Data for Identification and
  Estimation of Long-Term Causal Effects
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
AmirEmad Ghassami
Alan Yang
David Richardson
I. Shpitser
E. T. Tchetgen
CML
79
17
0
26 Jan 2022
Causal Inference with Hidden Mediators
Causal Inference with Hidden Mediators
AmirEmad Ghassami
Alan Yang
I. Shpitser
E. T. Tchetgen
29
6
0
04 Nov 2021
Proximal Causal Inference for Complex Longitudinal Studies
Proximal Causal Inference for Complex Longitudinal Studies
Andrew Ying
Wang Miao
Xu Shi
E. T. Tchetgen
46
39
0
15 Sep 2021
Proximal Learning for Individualized Treatment Regimes Under Unmeasured
  Confounding
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
Zhengling Qi
Rui Miao
Xiaoke Zhang
CML
46
28
0
03 May 2021
Semiparametric proximal causal inference
Semiparametric proximal causal inference
Yifan Cui
Hongming Pu
Xu Shi
Wang Miao
E. T. Tchetgen Tchetgen
28
101
0
17 Nov 2020
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