Probabilistic Improvement Maps Professors in Global

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Kemal Büyükkurt
Concordia University Canada
probabilistic decision support systems
perceptual mapping
probabilistic choice models
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Line Hansen
Aalborg University Denmark
data-informed improvement
evidence-informed improvement
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Davide Arioldi
Università della Svizzera italiana Switzerland
probabilistic programming
probabilistic graphical models
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David Parker
University of Oxford United Kingdom
probabilistic verification
probabilistic model checking
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David Scheinker
Stanford University United States of America
probabilistic modeling
mathematical optimization
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Anjani Jain
Yale University United States of America
probabilistic analysis
optimization algorithms
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Irina Rish
University of Montreal Canada
probabilistic inference
optimization algorithms
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Corrine Jabs
University of Saskatchewan Canada
process improvement
quality improvement
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Joseph Hopkins
Stanford University United States of America
process improvement
quality improvement
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Steven Peters
University of Calgary Canada
process improvement
quality improvement
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Stefan Steiner
University of Waterloo Canada
process improvement
quality improvement
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Femke Van Esch
Utrecht University Netherlands
cognitive mapping
comparative cognitive mapping
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Michael Osborne
University of Oxford United Kingdom
probabilistic numerics
bayesian optimisation
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
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Kiefer
Technical University of Berlin Germany
approximation algorithms
mathematical optimization
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Teresa Nordin
Linköping University Sweden
probabilistic improvement maps
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Madlene Nussbaum
Utrecht University Netherlands
predictive mapping
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Nick Hawes
University of Oxford United Kingdom
probabilistic planning
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Krzysztof Latuszynski
University of Warwick United Kingdom
probabilistic algorithms
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Jérémie Lumbroso
University of Pennsylvania United States of America
probabilistic algorithms
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Nikolas Kantas
Imperial College London United Kingdom
probabilistic algorithms
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