Causal Discovery Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
dynamic algorithms
distance-estimation algorithms
online algorithms
distributed algorithms
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Marc Renault
University of Wisconsin United States of America
search algorithms
approximation algorithms
online algorithms
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
discrete algorithms
optimization algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
dynamic algorithms
approximation algorithms
sublinear algorithms
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
online algorithms
optimization algorithms
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Ziad Kobti
University of Windsor Canada
cultural algorithms
genetic algorithms
multi-population cultural algorithms
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George Papavassilopoulos
University of Southern California United States of America
genetic algorithms
optimization algorithms
parallel algorithms
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Nima Anari
Stanford University United States of America
sampling algorithms
algorithms
parallel algorithms
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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Anupam Gupta
New York University United States of America
approximation algorithms
algorithms
algorithms in uncertain environments
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
data stream algorithms
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Jim Smith
University of Warwick United Kingdom
causal discovery algorithms
dynamic causal models
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Daniel Malinsky
Columbia University United States of America
causal discovery
causal inference
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Biwei Huang
University of California, San Diego United States of America
automated causal discovery
causal inference
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Kun Zhang
Carnegie Mellon University United States of America
causal discovery
causality-based learning
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Anish Agarwal
Columbia University United States of America
causal machine learning
causal inference
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Cem Dalli
Aarhus University Denmark
causal machine learning
causal inference
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Jason Hartford
University of Manchester United Kingdom
causal inference
causal representation learning
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Romaric Duvignau
University of Gothenburg Sweden
discovery algorithms
consensus algorithms
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Zhijing Jin
University of Toronto Canada
causal inference
causal reasoning
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Dae Ham
University of Michigan United States of America
causal inference
design-based causal inference
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