Probabilistic Data Efficient Approaches Professors in Global

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Xu Zhou
Imperial College London United Kingdom
data-driven methodologies
robust optimization
stochastic optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
robust optimization
stochastic optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
robust optimization
stochastic optimization
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Yan Li
Texas A&M University United States of America
robust optimization
dynamic optimization
stochastic optimization
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Shixuan Zhang
Texas A&M University United States of America
robust optimization
stochastic optimization
polynomial optimization
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Sophia Wilson
University of Copenhagen Denmark
data efficient machine learning
resource efficient machine learning
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Webb
Princeton University United States of America
computational approaches
data-driven methodologies
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Marc Suchard
University of California Los Angeles United States of America
biostatistical approaches
biomathematical approaches
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Alfons Kemper
Technical University of Munich Germany
data optimization
data integration methods
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Camilo Garcia Trillos
University College London United Kingdom
probabilistic numerical methods
robust optimization
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
data-driven methods
probabilistic analysis
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Ruth Misener
Imperial College London United Kingdom
data-driven optimization
robust optimization
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Daniel Kuhn
École Polytechnique Fédérale de Lausanne Switzerland
data-driven optimization
robust optimization
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Andrew Markham
University of Oxford United Kingdom
data-driven methods
physics-informed approaches
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Kostas Margellos
University of Oxford United Kingdom
data based optimization
randomized robust optimization
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
distributionally robust optimization
robust bayesian optimization
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Martin Grunow
Technical University of Munich Germany
data-driven methods
stochastic optimization
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Daniel Jung
Linköping University Sweden
data-driven methods
uncertainty-aware approaches
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Vishal Gupta
University of Southern California United States of America
data algorithms
robust optimization
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Vahideh Manshadi
Yale University United States of America
data-driven optimization
stochastic optimization
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Irina Rish
University of Montreal Canada
probabilistic inference
optimization algorithms
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