Stochastic Games Professors in Global

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Monika Eisenmann
Lund University Sweden
stochastic numerical analysis
randomized algorithms
stochastic differential equations
machine learning
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Diyora Salimova
University of Freiburg Germany
computational stochastics
stochastic differential equations
machine learning
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Eric Piette
Université catholique de Louvain Belgium
general game playing
game artificial intelligence
machine learning
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Erik Berglund
Linköping University Sweden
game programming
web-based gaming
serious games
image processing in games
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Sander Bakkes
Utrecht University Netherlands
game interventions
personalized games
game experience modeling
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Eric Xing
Carnegie Mellon University United States of America
statistical learning
probabilistic modeling
machine learning
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Ansgar Steland
RWTH Aachen University Germany
stochastic processes
statistical learning
stochastics applications
machine learning
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Sahand Negahban
Yale University United States of America
statistical learning
statistical signal processing
machine learning
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
large scale machine learning
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René Carmona
Princeton University United States of America
stochastic games
stochastic analysis
stochastic control
stochastic pdes
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Haoyang Cao
Johns Hopkins University United States of America
stochastic differential games
stochastic controls
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Galit Ashkenazi-golan
London School of Economics United Kingdom
stochastic games
game theory
dynamic games
repeated games
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Hao Zhang
University of British Columbia Canada
stochastic games
machine learning
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Harold Kushner
Brown University United States of America
stochastic networks
stochastic systems theory
stochastic control
complex stochastic systems
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Rosie Ching
Singapore Management University Singapore
statistical games
statistical experiments
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Nigel Stocks
University of Warwick United Kingdom
stochastic nonlinear systems
stochastic resonance
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Jan Křetínský
Technical University of Munich Germany
stochastic real-time systems
machine learning
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James Beck
California Institute of Technology United States of America
stochastic system modeling
quantum stochastic mechanics
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Sem Borst
Eindhoven University of Technology Belgium
large-scale stochastic networks
stochastic operations research
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Sharon Ong
Tilburg University Netherlands
stochastic filtering
machine learning
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Philip Protter
Columbia University United States of America
stochastic integration theory
stochastic differential equations
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