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Accelerated Mm Algorithms
Accelerated Mm Algorithms Professors in Global
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Professor
Gara Pruesse
Vancouver Island University
Canada
approximation algorithms
discrete algorithms
optimization algorithms
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Professor
Marc Renault
University of Wisconsin
United States of America
approximation algorithms
online algorithms
search algorithms
analysis of algorithms
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Professor
Mohammad Salavatipour
University of Alberta
Canada
approximation algorithms
probabilistic randomized algorithms
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Professor
Retsef Levi
Massachusetts Institute of Technology
United States of America
approximation algorithms
data-driven algorithms
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Professor
Kiefer
Technical University of Berlin
Germany
approximation algorithms
mathematical optimization
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Professor
Danupon Na Nongkai
KTH Royal Institute of Technology
Sweden
approximation algorithms
quantum algorithms
data stream algorithms
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Professor
Chris De Sa
Cornell University
Netherlands
stochastic algorithms
high-performance machine learning
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Professor
Chris De Sa
Cornell University
Netherlands
stochastic algorithms
high-performance machine learning
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Professor
George Papavassilopoulos
University of Southern California
United States of America
optimization algorithms
parallel algorithms
genetic algorithms
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Professor
Frank Miller
Linköping University
Sweden
optimization algorithms
active machine learning
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Professor
Kyra Gan
Cornell University
Netherlands
adaptive algorithm design
automated inference methods
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Professor
Aditya Potukuchi
York University
Canada
algorithmic sampling
algorithms
algorithmic counting
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Professor
Awos Kanan
University of Victoria
Canada
parallel algorithms
applied machine learning
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Professor
Peter Van Beek
University of Waterloo
Canada
applied machine learning
backtracking algorithms
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Professor
Faizan Ahmed
University of Twente
Netherlands
applied machine learning
mathematical optimization
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Professor
Satish Thittamaranahalli
University of Southern California
United States of America
algorithmic techniques
approximation randomization
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Professor
Utsav Sadana
University of Montreal
Canada
mathematical optimization
reliability algorithms
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Professor
Moses Charikar
Stanford University
United States of America
efficient algorithms for computational problems in high-dimensional statistics
efficient algorithmic techniques for processing high-dimensional data sets
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Professor
Milind Kulkarni
Purdue University
United States of America
optimizing algorithms
parallelizing algorithms
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Professor
David Kempe
University of Southern California
United States of America
algorithm analysis
algorithmic learning
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Professor
Armin Iske
University of Hamburg
Germany
numerical approximation
kernel-based approximation methods
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