Assortative Mating Professors in Global

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Ivan Kryven
Utrecht University Netherlands
random matrices
stochastic analysis
randomized algorithms
random approximation algorithms
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
statistical modeling
machine learning
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Bruno Gächter
ZHAW Zurich University of Applied Sciences Switzerland
predictive modeling
algorithmic decision-making
machine learning
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Joakim Munkhammar
Uppsala University Sweden
mathematical modeling
statistical modeling
machine learning
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Jonathan Shapiro
University of Manchester United Kingdom
probabilistic modeling
evolutionary algorithms
machine learning
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Monika Eisenmann
Lund University Sweden
randomized algorithms
machine learning
stochastic numerical analysis
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David Scheinker
Stanford University United States of America
probabilistic modeling
machine learning
mathematical optimization
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Moez Ali
Queen's University Canada
automated modeling
machine learning
automated machine learning
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Jaime Ide
Yale University United States of America
predictive modeling
theoretical modeling
machine learning
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Till Bretschneider
University of Warwick United Kingdom
generative modeling
machine learning
image-based modeling
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Molei Tao
Georgia Institute of Technology United States of America
generative modeling
machine learning
probabilistic machine learning
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Da Zhao
University of Melbourne Australia
predictive modeling
statistical modeling
machine learning
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Yingzhen Li
Imperial College London United Kingdom
generative modeling
machine learning
probabilistic machine learning
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Nanwei Wang
University of New Brunswick Canada
bayesian model selection
linear mixed models
machine learning
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Hina Shaheen
University of Manitoba Canada
machine learning
computational modelling
statistical machine learning
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Sanjeena Dang
Carleton University Canada
mixture models
machine learning
variational approximations
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Matthew Carey
Technical University of Denmark Denmark
mating systems
mating insects
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Trine Bilde
Aarhus University Denmark
mating systems
inbreeding
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Marcus Kronforst
University of Chicago United States of America
mating behavior
color patterning
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Daniel Laydon
Imperial College London United Kingdom
stochastic modelling
mathematical modelling
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Robert Dugand
University of Western Australia Australia
mating success
female mating bias
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