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Kernel Methods for Unobserved Confounding: Negative Controls, Proxies,
  and Instruments

Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments

18 December 2020
Rahul Singh
    CML
ArXivPDFHTML

Papers citing "Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments"

15 / 15 papers shown
Title
Doubly Robust Proximal Causal Learning for Continuous Treatments
Doubly Robust Proximal Causal Learning for Continuous Treatments
Yong Wu
Yanwei Fu
Shouyan Wang
Xinwei Sun
26
1
0
22 Sep 2023
A Convex Framework for Confounding Robust Inference
A Convex Framework for Confounding Robust Inference
Kei Ishikawa
Naio He
Takafumi Kanamori
OffRL
25
0
0
21 Sep 2023
Kernel Single Proxy Control for Deterministic Confounding
Kernel Single Proxy Control for Deterministic Confounding
Liyuan Xu
Arthur Gretton
CML
26
2
0
08 Aug 2023
Proximal Causal Learning of Conditional Average Treatment Effects
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup
Yifan Cui
CML
28
4
0
26 Jan 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
29
10
0
16 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning
Optimal Treatment Regimes for Proximal Causal Learning
Tao Shen
Yifan Cui
CML
38
3
0
19 Dec 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision
  Processes under Non-Parametric Models
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao
Zhengling Qi
Xiaoke Zhang
OffRL
30
10
0
21 Sep 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
38
15
0
17 Aug 2022
Pessimism in the Face of Confounders: Provably Efficient Offline
  Reinforcement Learning in Partially Observable Markov Decision Processes
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
Miao Lu
Yifei Min
Zhaoran Wang
Zhuoran Yang
OffRL
57
22
0
26 May 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
39
12
0
19 May 2022
Controlling for Latent Confounding with Triple Proxies
Controlling for Latent Confounding with Triple Proxies
Ben Deaner
CML
24
0
0
28 Apr 2022
Proximal Causal Inference for Marginal Counterfactual Survival Curves
Proximal Causal Inference for Marginal Counterfactual Survival Curves
Andrew Ying
Yifan Cui
E. T. Tchetgen
42
10
0
27 Apr 2022
Many Proxy Controls
Many Proxy Controls
Ben Deaner
AI4CE
36
7
0
08 Oct 2021
The Proximal ID Algorithm
The Proximal ID Algorithm
I. Shpitser
Zach Wood-Doughty
E. T. Tchetgen
CML
35
17
0
15 Aug 2021
Semiparametric proximal causal inference
Semiparametric proximal causal inference
Yifan Cui
Hongming Pu
Xu Shi
Wang Miao
E. T. Tchetgen Tchetgen
23
100
0
17 Nov 2020
1