Sampling Algorithm Development Professors in Global

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Peter Kling
University of Hamburg Germany
algorithm theory
efficient algorithms
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Peipei Zhou
Brown University United States of America
modeling optimization
compiler optimization
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Mohamed Aburweis
Texas A&M University United States of America
statistical machine learning
statistical modeling
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Romaric Duvignau
University of Gothenburg Sweden
discovery algorithms
consensus algorithms
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Ben Feng
University of Waterloo Canada
statistical machine learning
efficient simulation algorithms
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Adji Dieng
Princeton University United States of America
statistical machine learning
probabilistic modeling
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
probabilistic modeling
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Tom Rainforth
University of Oxford United Kingdom
statistical machine learning
probabilistic programming
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Longhai Li
University of Saskatchewan Canada
statistical machine learning
statistical learning
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Matteo Salvalaglio
University College London United Kingdom
enhanced sampling molecular dynamics
molecular modelling
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Carsten Svaneborg
University of Southern Denmark Denmark
computer models development
molecular modelling
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Madlene Nussbaum
Utrecht University Netherlands
statistical machine learning
predictive mapping
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Per Enqvist
KTH Royal Institute of Technology Sweden
modelling simulation
signal processing
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Christoph Studer
ETH Zurich Switzerland
efficient algorithms
signal processing
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Felipe Tobar
Imperial College London United Kingdom
statistical machine learning
signal processing
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
signal processing
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Dave Zachariah
Uppsala University Sweden
statistical machine learning
signal processing
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Thanasis Tsanas
University of Edinburgh United Kingdom
statistical machine learning
signal processing
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Thomas Schön
Uppsala University Sweden
decision-making algorithms
signal processing
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Hui Wang
Brown University United States of America
game-theoretic importance sampling
stochastic optimization
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
computational modelling
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