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Estimating Treatment Effects with Observed Confounders and Mediators
v1v2v3 (latest)

Estimating Treatment Effects with Observed Confounders and Mediators

26 March 2020
Shantanu Gupta
Zachary Chase Lipton
David Benjamin Childers
    CML
ArXiv (abs)PDFHTML

Papers citing "Estimating Treatment Effects with Observed Confounders and Mediators"

4 / 4 papers shown
Title
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Winston Chen
Trenton Chang
Jenna Wiens
CML
68
0
0
08 May 2025
Efficient Online Estimation of Causal Effects by Deciding What to
  Observe
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta
Zachary Chase Lipton
David Benjamin Childers
CML
83
19
0
20 Aug 2021
Efficient least squares for estimating total effects under linearity and
  causal sufficiency
Efficient least squares for estimating total effects under linearity and causal sufficiency
By F. Richard Guo
Emilija Perković
CML
95
13
0
08 Aug 2020
Causality and Batch Reinforcement Learning: Complementary Approaches To
  Planning In Unknown Domains
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
James Bannon
Bradford T. Windsor
Wenbo Song
Tao Li
CMLOODOffRL
73
20
0
03 Jun 2020
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