Predictability Training Professors in Global

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Nicholas Rhinehart
University of Toronto Canada
reinforcement learning
imitation learning
forecasting control
robot learning
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Yinbei Li
Singapore Institute of Technology Singapore
reinforcement learning
imitation learning
robot learning
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Sarah Lorf-stahl
University of Hamburg Germany
training science
motor learning
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Nathan Srebro
University of Chicago United States of America
probabilistic modeling
statistical learning theory
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
statistical learning theory
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Magnus Ross
University College London United Kingdom
time series forecasting
probabilistic machine learning
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Stephen Tu
University of Southern California United States of America
imitation learning
statistical learning theory
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Henrik Boström
KTH Royal Institute of Technology Sweden
probabilistic machine learning
conformal prediction
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Carlo Ciliberto
University College London United Kingdom
structured prediction
statistical learning theory
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Dongzhu Liu
University of Glasgow United Kingdom
conformal prediction
scalable bayesian learning
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Medhat Moussa
University of Guelph Canada
robot learning
pattern recognition
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Hadi Mousanejad Jeddi
Linköping University Sweden
post-training quantization
training of graph attention networks
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Yutong Wang
London School of Economics and Political Science United Kingdom
time series statistical learning
statistical learning theory
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Nina Andersen
Aarhus University Denmark
communication skills training
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Asher Tulsky
Boston University United States of America
communication skills training
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Winifred Teuteberg
Stanford University United States of America
predictive algorithms
communication skills training
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Matthew Salganik
Princeton University United States of America
predictability of life outcomes
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Leigha Macneill
Purdue University United States of America
risk prediction modeling
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Summer Han
Stanford University United States of America
risk prediction modeling
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Summer Han
Stanford University United States of America
risk prediction modeling
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Kishor Trivedi
Duke University Singapore
performability models
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