Algorithm Robustness Professors in Global

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Marc Renault
University of Wisconsin United States of America
analysis of algorithms
algorithm design
search algorithms
approximation algorithms
online algorithms
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
robust control
genetic algorithms
optimization
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Yaoliang Yu
University of Waterloo Canada
robustness
robust stochastic optimization
optimization algorithms
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Matus Mihalak
Maastricht University Netherlands
robust optimization
algorithms
optimization
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Masoud Mansoury
Delft University of Technology Netherlands
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robustness
algorithmic fairness
algorithmic bias
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Eliezer Upfal
Brown University United States of America
analysis of algorithms
randomized algorithms
algorithm design
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
optimization algorithms
online algorithms
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Anupam Gupta
New York University United States of America
algorithms
algorithms in uncertain environments
approximation algorithms
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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
robust bayesian optimization
distributionally robust optimization
optimization
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David Kempe
University of Southern California United States of America
algorithm analysis
algorithm design
algorithmic learning
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Ashish Goel
Stanford University United States of America
algorithm analysis
algorithm design
algorithm applications
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Shahin Kamali
University of Manitoba Canada
algorithm analysis
algorithm design
online algorithms
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John Chinneck
Carleton University Canada
algorithms
concurrent algorithms
optimization
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Clifford Stein
Columbia University United States of America
algorithm engineering
network algorithms
algorithm design
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
dynamic algorithms
algorithm design and analysis
approximation algorithms
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
discrete algorithms
approximation algorithms
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Mohammad Salavatipour
University of Alberta Canada
algorithmics
approximation algorithms
hardness approximation
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Kent Quanrud
Purdue University United States of America
algorithm design
approximation algorithms
optimization
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Kyra Gan
Cornell University Netherlands
robust causal discovery
adaptive algorithm design
online algorithm design
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Gjergji Kasneci
Technical University of Munich Germany
algorithm robustness
algorithm transparency
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Stefanie Jegelka
Massachusetts Institute of Technology United States of America
robustness of machine learning algorithms
optimization algorithms
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