Maximum Penalized Likelihood Professors in Global

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Matthew Jenssen
King's College London United Kingdom
probability
probabilistic
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Philipp Sterzinger
London School of Economics United Kingdom
maximum penalized likelihood
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Yang Zhao
University of Regina Canada
maximum likelihood
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Thomas Severini
Northwestern University United States of America
maximum likelihood estimation
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Sahir Bhatnagar
McGill University Canada
penalized regression
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Shuva Gupta
University of Pennsylvania United States of America
penalized methods
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Sandy Zabell
Northwestern University United States of America
mathematical probability
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Alan Hammond
University of California, Berkeley United States of America
mathematical probability
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Le Chang
Australian National University Australia
robust penalized regression
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Alan Hammond
University of California, Berkeley United States of America
mathematical probability
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Justin Tetrault
Simon Fraser University Canada
penality
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Agustinus Kristiadi
Western University Canada
probabilistic machine learning
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Paul Henderson
University of Glasgow United Kingdom
probabilistic machine learning
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David Broman
KTH Royal Institute of Technology Sweden
probabilistic machine learning
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Shin Oblander
University of British Columbia Canada
probabilistic machine learning
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Ankush Das
Boston University United States of America
probabilistic machine learning
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Geoff Pleiss
University of British Columbia Canada
probabilistic machine learning
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Erik Baurdoux
London School of Economics and Political Science United Kingdom
optimal prediction
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Yingzhen Li
Imperial College London United Kingdom
probabilistic machine learning
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Mingyuan Zhou
University of Texas at Austin United States of America
probabilistic machine learning
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Subham Sahoo
Aalborg University Denmark
probabilistic machine learning
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