Estimation Filtering Professors in Global

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Yaoliang Yu
University of Waterloo Canada
machine learning
optimization algorithms
generative modelling
natural language processing
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Bing Li
Pennsylvania State University United States of America
estimating equations
semiparametric estimation
machine learning
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
prediction modeling
machine learning
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Sharon Ong
Tilburg University Netherlands
stochastic filtering
bayesian estimation
machine learning
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Nathan Srebro
University of Chicago United States of America
collaborative filtering
probabilistic modeling
machine learning
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Hyonho Chun
Purdue University United States of America
covariance estimation
nonparametric function estimation
machine learning
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Ryan Tibshirani
University of California, Berkeley United States of America
nonparametric estimation
probabilistic forecasting
machine learning
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Lyle Ungar
University of Pennsylvania United States of America
collaborative filtering
machine learning
information extraction
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Ralf Peeters
Maastricht University Netherlands
statistical parameter estimation
machine learning
mathematical modelling
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Ralf Peeters
Maastricht University Netherlands
statistical parameter estimation
machine learning
mathematical modelling
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Chunming Zhang
University of Wisconsin–Madison United States of America
non-parametric estimation
semi-parametric estimation
machine learning
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Lan Du
Monash University Australia
uncertainty estimation
machine learning
natural language processing
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Aram Bahrini
University of Illinois United States of America
forecasting
machine learning
mathematical modeling
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John Smith
University of New Brunswick Canada
predictive modeling
machine learning
natural language processing
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Cody Hyndman
Concordia University Canada
filtering control
machine learning
stochastic analysis
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Bruno Gächter
ZHAW Zurich University of Applied Sciences Switzerland
predictive modeling
machine learning
algorithmic decision-making
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Karima Dyussekeneva
University College London United Kingdom
forecasting
machine learning
predictive analytics
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John Doe
University of Wisconsin–Madison United States of America
predictive modeling
machine learning
natural language processing
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David Scheinker
Stanford University United States of America
probabilistic modeling
machine learning
mathematical optimization
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Anders Bæk-petersen
University of Southern Denmark Denmark
automated decision making
machine learning
mathematical modelling
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
machine learning
optimization algorithms
stochastic optimization
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