Likelihood Approximation Professors in Global

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Sigurd Assing
University of Warwick United Kingdom
probability theory
stochastic analysis
machine learning
random processes
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Hina Shaheen
University of Manitoba Canada
probability stochastic processes
bayesian inference
machine learning
statistical machine learning
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A.c.c. Coolen
Radboud University Netherlands
random networks
machine learning
statistical inference
predictive analysis
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Kavita Ramanan
Brown University United States of America
probability theory
high-dimensional probability
stochastic analysis
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Torkel Erhardsson
Linköping University Sweden
probability theory
bayesian inference
statistical inference
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Jonathan Weare
New York University United States of America
probability theory
stochastic algorithms
statistical machine learning
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Gennady Samorodnitsky
Cornell University Netherlands
probability theory
applied probability
machine learning
stochastic modeling
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Philipp Sterzinger
London School of Economics United Kingdom
estimation
prediction
machine learning
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Victor Panaretos
École Polytechnique Fédérale de Lausanne Switzerland
probability theory
statistical inference
regression modeling
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Camilo Garcia Trillos
University College London United Kingdom
probabilistic numerical methods
stochastic analysis
machine learning
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Sahani Pathiraja
University of New South Wales Australia
bayesian inference
stochastic analysis
machine learning
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Umberto Picchini
University of Gothenburg Sweden
approximate bayesian computation
stochastic modelling
likelihood-free methods
statistical inference
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Michael Osborne
University of Oxford United Kingdom
machine learning
probabilistic numerics
bayesian optimisation
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Ricardo Silva
University College London United Kingdom
bayesian inference
machine learning
relational inference
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Ricardo Silva
University College London United Kingdom
bayesian inference
machine learning
relational inference
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Abhishek Chakrabortty
Texas A&M University United States of America
bayesian inference
machine learning
statistical inference
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Jaehee Kim
Cornell University Netherlands
bayesian inference
machine learning
statistical inference
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Jordan Awan
Purdue University United States of America
simulation-based inference
machine learning
statistical inference
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Kaisey Mandel
University of Cambridge United Kingdom
simulation-based inference
machine learning
bayesian modelling
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Utsav Sadana
University of Montreal Canada
mathematical optimization
machine learning
reliability algorithms
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Christian Maack
Aalborg University Denmark
stochastic modelling
machine learning
simulation
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