Causal Mathematical Explanation Professors in Global

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Hans Heyn
University of Gothenburg Sweden
causal analysis
causality
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Hans Heyn
Chalmers University of Technology Sweden
causal reasoning
causality
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Zhijing Jin
University of Toronto Canada
causal reasoning
causal inference
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Bryon Aragam
University of Chicago Booth School of Business United States of America
causal machine learning
causality
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Cem Dalli
Aarhus University Denmark
causal machine learning
causal inference
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Anish Agarwal
Columbia University United States of America
causal machine learning
causal inference
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Daniel Malinsky
Columbia University United States of America
causal inference
causal discovery
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Zhonghua Liu
Columbia University United States of America
causal inference
causal mediation analysis
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Xiao Liu
University of Texas at Austin United States of America
causal inference
causal mediation analysis
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Alexander De Leon
University of Calgary Canada
causal inference
causal mediation analysis
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Lijia Wang
University of Toronto Canada
causal inference
causal mediation analysis
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Alexander De Leon
University of Calgary Canada
causal inference
causal mediation analysis
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Yeying Zhu
University of Waterloo Canada
causal inference
causal mediation analysis
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Jason Hartford
University of Manchester United Kingdom
causal inference
causal representation learning
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Vincent Lam
University of Bern Switzerland
causation
explanation
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Christopher Hitchcock
California Institute of Technology United States of America
causation
explanation
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Christopher Hitchcock
California Institute of Technology United States of America
causation
explanation
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Hana Chockler
King's College London United Kingdom
causal reasoning
explainable ai
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Dae Ham
University of Michigan United States of America
causal inference
design-based causal inference
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Anna-sofia Maurin
University of Gothenburg Sweden
non-causal explanation
metaphysical explanation
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David Inouye
Purdue University United States of America
causal machine learning
explainability
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