Stochastic Models Professors in Global

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Mark Van Oyen
University of Michigan United States of America
stochastic optimization
machine learning
online stochastic optimization
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Krishna Balasubramanian
University of California, Davis United States of America
stochastic optimization
statistical learning
generative modeling
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Eric Xing
Carnegie Mellon University United States of America
probabilistic modeling
machine learning
statistical learning
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Mert Sabuncu
Cornell University Netherlands
probabilistic modeling
machine learning
statistical inference
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Debdeep Pati
University of Wisconsin–Madison United States of America
hierarchical modeling
machine learning
bayesian graphical models
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Vidvuds Ozolins
Yale University United States of America
machine learning
computational modeling
statistical simulation
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Khader Khadraoui
Laval University Canada
stochastic processes
stochastic differential equations
high-dimensional probabilistic models
statistical theory modeling
statistical inference
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Hal Caswell
University of Amsterdam Netherlands
stochastic processes in demography
environmental stochasticity
demographic stochasticity
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Luke Miller
Radboud University Netherlands
machine learning
computational modeling
neural network modeling
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Mahdi Khodayar
The University of Tulsa Iran
No active positions
machine learning
statistical pattern recognition
probabilistic graphical models
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Nanwei Wang
University of New Brunswick Canada
machine learning
statistical learning
bayesian model selection
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
generative modeling
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Yingzhen Li
Imperial College London United Kingdom
machine learning
probabilistic machine learning
generative modeling
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Barbara Bravi
Imperial College London United Kingdom
mathematical modelling
machine learning
stochastic biochemical reactions
statistical inference
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Mohammad Anam Khan
University of Toronto Canada
machine learning
biostatistical analysis
statistical inference
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Qiang Liu
University of Texas at Austin United States of America
machine learning
probabilistic graphical models
generative modeling
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Gabriela Czanner
University of Southampton United Kingdom
statistical machine learning models
spatial statistical models
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Joris Bierkens
Delft University of Technology Netherlands
stochastic simulation
statistical learning
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
stochastic differential equations
statistical inference
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
stochastic differential equations
statistical inference
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Lin Fan
Northwestern University United States of America
stochastic simulation
stochastic processes
statistical inference
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