Scalable Estimation Methods Professors in Global

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Haziq Jamil
London School of Economics and Political Science United Kingdom
scalable estimation methods
statistical methods
approximate bayesian methods
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Andrei Volodin
University of Regina Canada
classical estimation methods
bayesian estimation methods
estimation of modes
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Maysam Chamanzar
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Dave Touretzky
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Kate Hong
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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John Anderson
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Paul Arora
University of Toronto Canada
statistical methods
comparative effectiveness methods
causal inference methods
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Caleb Pomeroy
University of Toronto Canada
statistical methods
computational methods
experimental methods
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Northwestern University United States of America
interpretive methods
qualitative methods
experimental methods
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Ingemar André
Lund University Sweden
computational methods
experimental methods
high-throughput methods
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Yunpeng Shi
University of California, Davis United States of America
scalable computational methods
robust estimation
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Rina Foygel Barber
University of Chicago United States of America
scalable optimization techniques
estimation
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Carsten Burstedde
University of Bonn Germany
scalable algorithms
mathematical methods
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Sham Kakade
Harvard University United States of America
scalable optimization algorithms
scaling laws
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Harold Kushner
Brown University United States of America
approximation methods
optimization methods
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Jose Figueroa-lopez
Purdue University United States of America
nonparametric estimation methods
calibration methods
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Ying Cui
University of California, Berkeley United States of America
statistical estimations
optimization techniques
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Gary Rosen
University of Southern California United States of America
numerical approximation methods
estimation
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Mike Tarr
Carnegie Mellon University United States of America
statistical methods
mathematical methods
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Andreas Pfenning
Carnegie Mellon University United States of America
statistical methods
mathematical methods
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Gary Rosen
University of Southern California United States of America
numerical approximation methods
estimation
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