Causal Ambiguity Professors in Global

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Zhijing Jin
University of Toronto Canada
causal reasoning
causal inference
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Hans Heyn
Chalmers University of Technology Sweden
causal reasoning
causality
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Hans Heyn
University of Gothenburg Sweden
causality
causal analysis
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Cem Dalli
Aarhus University Denmark
causal inference
causal machine learning
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Anish Agarwal
Columbia University United States of America
causal inference
causal machine learning
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Daniel Malinsky
Columbia University United States of America
causal inference
causal discovery
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Mark Lunt
University of Manchester United Kingdom
causal inference
confounding variables
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Bryon Aragam
University of Chicago Booth School of Business United States of America
causality
causal machine learning
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Jason Hartford
University of Manchester United Kingdom
causal inference
causal representation learning
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David Inouye
Purdue University United States of America
causal machine learning
explainability
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Joel Klenk
Eberhard Karls University of Tübingen Germany
ambiguity
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Julian Hölzermann
University of Southern Denmark Denmark
ambiguity
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Marlene Pedersen
Technical University of Denmark Denmark
ambiguity
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Maria Svensson
Umeå University Sweden
ambiguity
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Peter Wakker
Erasmus University Rotterdam Netherlands
ambiguity
decision uncertainty
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Paul Sowman
Macquarie University Australia
ambiguity
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Henrik Rosenkvist
University of Gothenburg Sweden
structural ambiguity
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Johannes Schumacher
University of Amsterdam Netherlands
decision ambiguity
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Johannes Wiesel
University of Copenhagen Denmark
model ambiguity
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Hao Xing
Boston University United States of America
model ambiguity
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Rhys Bidder
King's College London United Kingdom
ambiguity risk
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