Deterministic Shared Memory Multiprocessing Professors in Global

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Subhrakanti Dey
Uppsala University Sweden
distributed machine learning
stochastic optimization
distributed optimization
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
computational stochastic mechanics
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
probabilistic modeling
deep generative models
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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational statistical machine learning
distributed optimization
large-scale machine learning
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Hyunyoung Lee
Texas A&M University United States of America
distributed shared data structures
distributed algorithms
dynamic distributed systems
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Fernando Pedone
Università della Svizzera italiana Switzerland
dependable distributed systems
distributed algorithms
distributed data management systems
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Katrina Lythgoe
University of Oxford United Kingdom
deterministic modelling
stochastic modelling
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David Probst
Concordia University Canada
large-scale shared memory multiprocessors
distributed parallel systems
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Troy Day
Queen's University Canada
deterministic dynamical systems
stochastic processes
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Johannes Royset
University of Southern California United States of America
deterministic optimization
stochastic optimization
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Spyridon Pougkakiotis
King's College London United Kingdom
large-scale deterministic optimisation
stochastic optimisation
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Rachid Guerraoui
École Polytechnique Fédérale de Lausanne Switzerland
transactional shared memory
distributed algorithms
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Zhengtao Ding
University of Manchester United Kingdom
distributed machine learning
distributed optimisation
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Rahim Rahmani
Stockholm University Sweden
distributed data processing
spatial computing
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Eric Ruppert
York University Canada
shared-memory algorithms
distributed computing
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Yassine Yaakoubi
Concordia University Canada
probabilistic machine learning
stochastic programming
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Lin Fan
Northwestern University United States of America
stochastic simulation
stochastic processes
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
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Adji Dieng
Princeton University United States of America
statistical machine learning
probabilistic modeling
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Jim Morel
Texas A&M University United States of America
deterministic particle transport
hybrid deterministic
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Molei Tao
Georgia Institute of Technology United States of America
probabilistic machine learning
dynamical systems machine learning
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