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Algorithmic Learning
Algorithmic Learning Professors in Global
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Professor
Mehrdad Mahdavi
Pennsylvania State University
United States of America
deep learning
computational learning theory
large-scale machine learning
statistical learning theory
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Professor
C. Green
University of Wisconsin–Madison
United States of America
human learning
motor learning
cognitive learning
depth learning
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Professor
Santosh Vempala
Georgia Institute of Technology
United States of America
algorithms
randomized algorithms
computational learning theory
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Professor
Mark Winands
Maastricht University
Netherlands
adaptive algorithms
artificial intelligence
machine reasoning
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Professor
Mohammad Salavatipour
University of Alberta
Canada
algorithmics
algorithmic graph theory
probabilistic randomized algorithms
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Professor
Daniel Björkegren
Columbia University
United States of America
algorithmic transparency
applied machine learning
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Professor
Stephen Tu
University of Southern California
United States of America
imitation learning
statistical learning theory
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Professor
Zongchen Chen
Georgia Institute of Technology
United States of America
randomized algorithms
learning theory
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Professor
Pankaj Agarwal
Duke University
Singapore
robotics algorithms
geometric algorithms
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Professor
Katinka Van Der Kooij
Vrije Universiteit Amsterdam
Netherlands
motor learning
human motor learning
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Professor
Lone Hersted
Aalborg University
Denmark
organizational learning
action learning
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Professor
Søren Frimann
Aalborg University
Denmark
organizational learning
action learning
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Professor
Eugene Poh Zhenyong
Macquarie University
Australia
motor learning
computational modelling
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Professor
Oliver Baumann
University of Southern Denmark
Denmark
organizational learning
computational modeling
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Professor
Ashok Cutkosky
Boston University
United States of America
machine learning
optimization algorithms
adaptive online learning
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Professor
Yaoliang Yu
University of Waterloo
Canada
machine learning
representation learning
optimization algorithms
distributed learning
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Professor
Carlo Ciliberto
University College London
United Kingdom
machine learning
multi-task learning
statistical learning theory
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Professor
Yichen Zhang
Purdue University
United States of America
reinforcement learning
multi-task learning
distributed learning
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Professor
Yutong Wang
London School of Economics and Political Science
United Kingdom
time series statistical learning
statistical learning theory
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Professor
Jan Kronqvist
Royal Institute of Technology
Sweden
optimization algorithms
ai in optimization
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Professor
Costas Armenakis
York University
Canada
algorithmic aspects
robotic mapping
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