Probabilistic Programming Professors in Global

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Renato Monteiro
Georgia Institute of Technology United States of America
linear programming
nonlinear programming
convex quadratic programming
computational optimization
convex programming
complexity algorithms
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John Reppy
University of Chicago United States of America
parallel programming
functional programming
concurrent programming
object-oriented programming
programming languages
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Ilan Adler
University of California, Berkeley United States of America
mathematical programming
probabilistic analysis
linear programming
convex programming
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Peter Stuckey
Monash University Australia
constraint programming
logic programming
programming languages
program analysis
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Fabian Bastin
University of Montreal Canada
stochastic programming
mathematical programming
nonlinear programming
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Merve Bodur
University of Edinburgh United Kingdom
stochastic programming
dynamic programming
integer programming
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Martin Möhle
Eberhard Karls University Tübingen Germany
probabilistic number theory
probability theory
stochastic processes
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Eliezer Upfal
Brown University United States of America
probabilistic analysis
randomized algorithms
stochastic optimization
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Ricardo Fukasawa
University of Waterloo Canada
stochastic programming
mixed-integer programming
computational optimization
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Johan Kwisthout
Radboud University Netherlands
probabilistic graphical models
stochastic computing
computational complexity
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Jacek Gondzio
University of Edinburgh United Kingdom
linear programming
quadratic programming
nonlinear programming
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Stephanie Weirich
University of Pennsylvania United States of America
functional programming
generic programming
programming languages
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Frank Schwartz
University of Hamburg Germany
linear programming
mixed linear programming
stochastic optimization
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Jip Dekker
Monash University Australia
constraint programming
problem modelling
programming languages
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Hao Yu
Western University Canada
parallel programming
stochastic modeling
statistical computing
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Steve Gismondi
University of Guelph Canada
linear programming
mathematical modelling
computational complexity
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Nazim Khan
University of Western Australia Australia
probability
stochastic modelling
statistical computing
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Jeremy Gibbons
University of Oxford United Kingdom
functional programming
programming methodology
programming languages
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Ivan Kryven
Utrecht University Netherlands
probability
randomized algorithms
random approximation algorithms
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Elchanan Mossel
Massachusetts Institute of Technology United States of America
probability
randomized algorithms
computational complexity
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Martin Odersky
École Polytechnique Fédérale de Lausanne Switzerland
functional programming
object-oriented programming
programming languages
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