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A General Method for Deriving Tight Symbolic Bounds on Causal Effects
24 March 2020
Michael C Sachs
Gustav Jonzon
A. Sjölander
Erin E Gabriel
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Papers citing
"A General Method for Deriving Tight Symbolic Bounds on Causal Effects"
11 / 11 papers shown
Title
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
Jordan Penn
L. Gunderson
Gecia Bravo Hermsdorff
Ricardo M. A. Silva
David S. Watson
69
0
0
11 Nov 2024
Consistency of Neural Causal Partial Identification
Jiyuan Tan
Jose Blanchet
Vasilis Syrgkanis
CML
109
0
0
24 May 2024
Tightening Bounds on Probabilities of Causation By Merging Datasets
Numair Sani
Atalanti A. Mastakouri
81
1
0
12 Oct 2023
Scalable Computation of Causal Bounds
Madhumitha Shridharan
G. Iyengar
44
1
0
04 Aug 2023
Efficient Computation of Counterfactual Bounds
Marco Zaffalon
Alessandro Antonucci
Rafael Cabañas
David Huber
Dario Azzimonti
47
2
0
17 Jul 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
122
11
0
02 Jun 2023
Bounding probabilities of causation through the causal marginal problem
Numair Sani
Atalanti A. Mastakouri
Dominik Janzing
CML
109
4
0
04 Apr 2023
Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface
Gustav Jonzon
Michael C Sachs
Erin E Gabriel
CML
19
2
0
08 Sep 2022
Partial Counterfactual Identification from Observational and Experimental Data
Junzhe Zhang
Jin Tian
Elias Bareinboim
71
64
0
12 Oct 2021
An Automated Approach to Causal Inference in Discrete Settings
Guilherme Duarte
N. Finkelstein
D. Knox
Jonathan Mummolo
I. Shpitser
96
49
0
28 Sep 2021
Bounding Causes of Effects with Mediators
P. Dawid
M. Humphreys
M. Musio
33
10
0
30 Jun 2019
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