Automated Causal Discovery Professors in Global

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Daniel Malinsky
Columbia University United States of America
causal discovery
causal inference
machine learning
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Anish Agarwal
Columbia University United States of America
causal machine learning
causal inference
machine learning
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Dae Ham
University of Michigan United States of America
causal inference
design-based causal inference
adaptive sequential inference
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Vijay Ganesh
Georgia Institute of Technology United States of America
automated scientific discovery
automated reasoning
machine learning
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Niki Kilbertus
Technical University of Munich Germany
causal inference
automated decision-making
machine learning
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Thomas Icard
Stanford University United States of America
causal inference
automated reasoning
machine learning
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Holger Hoos
RWTH Aachen University Germany
automated reasoning
automated machine learning
machine learning
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Zhonghua Liu
Columbia University United States of America
causal inference
causal mediation analysis
machine learning
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Yeying Zhu
University of Waterloo Canada
causal inference
causal mediation analysis
machine learning
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Joseph Ramsey
Carnegie Mellon University United States of America
causal inference
computational analysis
machine learning
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Moez Ali
Queen's University Canada
automated machine learning
automated modeling
machine learning
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David Van Leeuwen
Radboud University Netherlands
automatic speech recognition
automatic language recognition
automatic speaker recognition
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Parvin Mousavi
Queen's University Canada
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computer-aided diagnosis
computer-assisted diagnosis
machine learning
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
pattern discovery
machine learning
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Paula Branco
University of Ottawa Canada
anomaly detection
predictive analytics
machine learning
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Paula Branco
University of Ottawa Canada
anomaly detection
predictive analytics
machine learning
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John Doe
Maastricht University Netherlands
predictive analytics
machine learning
automated systems
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Cem Dalli
Aarhus University Denmark
causal machine learning
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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Jason Hartford
University of Manchester United Kingdom
causal inference
causal representation learning
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Tom Heskes
Radboud University Netherlands
causal discovery
machine learning
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