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Stochastic Causal Programming for Bounding Treatment Effects
v1v2v3v4 (latest)

Stochastic Causal Programming for Bounding Treatment Effects

22 February 2022
Kirtan Padh
Jakob Zeitler
David S. Watson
Matt J. Kusner
Ricardo M. A. Silva
Niki Kilbertus
    CML
ArXiv (abs)PDFHTML

Papers citing "Stochastic Causal Programming for Bounding Treatment Effects"

7 / 7 papers shown
Title
Your Assumed DAG is Wrong and Here's How To Deal With It
Kirtan Padh
Zhufeng Li
Cecilia Casolo
Niki Kilbertus
CML
101
0
0
24 Feb 2025
Targeted Sequential Indirect Experiment Design
Targeted Sequential Indirect Experiment Design
Elisabeth Ailer
Niclas Dern
Jason S. Hartford
Niki Kilbertus
109
3
0
30 May 2024
Consistency of Neural Causal Partial Identification
Consistency of Neural Causal Partial Identification
Jiyuan Tan
Jose Blanchet
Vasilis Syrgkanis
CML
100
0
0
24 May 2024
Bounding Causal Effects with Leaky Instruments
Bounding Causal Effects with Leaky Instruments
David S. Watson
Jordan Penn
L. Gunderson
Gecia Bravo Hermsdorff
Afsaneh Mastouri
Ricardo M. A. Silva
CML
56
1
0
05 Apr 2024
Partial Counterfactual Identification of Continuous Outcomes with a
  Curvature Sensitivity Model
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
120
11
0
02 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
Sharp Bounds for Generalized Causal Sensitivity Analysis
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
CML
120
19
0
26 May 2023
Partial Identification of Treatment Effects with Implicit Generative
  Models
Partial Identification of Treatment Effects with Implicit Generative Models
Vahid Balazadeh Meresht
Vasilis Syrgkanis
Rahul G. Krishnan
CML
74
19
0
14 Oct 2022
1