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1312.7485
Cited By
A General Algorithm for Deciding Transportability of Experimental Results
29 December 2013
Elias Bareinboim
Judea Pearl
OT
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Papers citing
"A General Algorithm for Deciding Transportability of Experimental Results"
25 / 25 papers shown
Title
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron
Michael Witbrock
Gillian Dobbie
CML
BDL
OOD
67
0
0
08 Oct 2024
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg
Cristiano Premebida
Diego Resende Faria
CML
89
2
0
17 Mar 2024
Neural Causal Abstractions
K. Xia
Elias Bareinboim
CML
NAI
103
7
0
05 Jan 2024
Towards a Transportable Causal Network Model Based on Observational Healthcare Data
Alice Bernasconi
Alessio Zanga
Peter J.F. Lucas
M. Scutari
Fabio Stella
CML
OOD
52
2
0
13 Nov 2023
Simulation Experiments as a Causal Problem
Tyrel Stokes
I. Shrier
R. Steele
CML
22
1
0
21 Aug 2023
Causal reasoning in typical computer vision tasks
Kexuan Zhang
Qiyu Sun
Chaoqiang Zhao
Yang Tang
CML
95
13
0
26 Jul 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
Ruta Binkyt.e
D. Gorla
C. Palamidessi
FaML
47
1
0
06 Jul 2023
A Causal Inference Framework for Leveraging External Controls in Hybrid Trials
M. Valancius
Herbert Pang
Jiawen Zhu
Stephen R. Cole
M. J. Funk
Michael R. Kosorok
CML
65
4
0
15 May 2023
Causal Discovery with Stage Variables for Health Time Series
Bharat Srikishan
Samantha Kleinberg
CML
44
0
0
05 May 2023
Out-of-Variable Generalization for Discriminative Models
Siyuan Guo
J. Wildberger
Bernhard Schölkopf
OOD
CML
99
2
0
16 Apr 2023
Causal Transportability for Visual Recognition
Chengzhi Mao
K. Xia
James Wang
Hongya Wang
Junfeng Yang
Elias Bareinboim
Carl Vondrick
CML
OOD
BDL
111
35
0
26 Apr 2022
Building Object-based Causal Programs for Human-like Generalization
Bonan Zhao
Christopher G. Lucas
Neil R. Bramley
13
0
0
20 Nov 2021
Switching Contexts: Transportability Measures for NLP
G. Marshall
Mokanarangan Thayaparan
P. Osborne
André Freitas
OT
30
1
0
03 May 2021
Causal Markov Boundaries
Sofia Triantafillou
Fattaneh Jabbari
Gregory F. Cooper
CML
OOD
55
5
0
12 Mar 2021
Causal Inference With Selectively Deconfounded Data
Kyra Gan
Andrew A. Li
Zachary Chase Lipton
S. Tayur
CML
75
7
0
25 Feb 2020
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
89
164
0
08 Mar 2019
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
Santtu Tikka
Antti Hyttinen
Juha Karvanen
CML
174
31
0
04 Feb 2019
Removing Hidden Confounding by Experimental Grounding
Nathan Kallus
A. Puli
Uri Shalit
CML
123
147
0
27 Oct 2018
A Primer on Causality in Data Science
H. Saddiki
Laura B. Balzer
CML
14
8
0
07 Sep 2018
Surrogate Outcomes and Transportability
Santtu Tikka
Juha Karvanen
CML
64
5
0
19 Jun 2018
Simplifying Probabilistic Expressions in Causal Inference
Santtu Tikka
Juha Karvanen
CML
65
13
0
19 Jun 2018
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane
T. V. Ommen
Tom Claassen
Stephan Bongers
Philip Versteeg
Joris M. Mooij
OOD
CML
149
237
0
20 Jul 2017
Causal inference for data-driven debugging and decision making in cloud computing
Philipp Geiger
Lucian Carata
B. Schoelkopf
88
1
0
04 Mar 2016
External Validity: From Do-Calculus to Transportability Across Populations
Judea Pearl
Elias Bareinboim
84
333
0
05 Mar 2015
Study design in causal models
Juha Karvanen
CML
109
33
0
13 Nov 2012
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