Splitting Algorithms Professors in Global

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Martin Andersen
Technical University of Denmark Denmark
stochastic programming
numerical methods algorithms
machine learning
mathematical programming
numerical optimization
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Tahereh Koohi
University of New South Wales Australia
evolutionary algorithms
machine learning
deep learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
statistical machine learning
machine learning
deep learning
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Tom Rainforth
University of Oxford United Kingdom
statistical machine learning
deep learning
probabilistic programming
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Chris Maddison
University of Toronto Canada
machine learning
statistical computing
deep learning
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
statistical computing
deep learning
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Daniel Roy
University of Toronto Canada
No active positions
machine learning
deep learning
probabilistic programming
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Xiucai Ding
University of California, Davis United States of America
stochastic optimization
deep learning
scalable computation
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Pascal Vincent
University of Montreal Canada
machine learning
deep learning
algorithmics
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Ligang He
University of Warwick United Kingdom
machine learning
deep learning
distributed computing
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Daniel Ortiz Arroyo
Aalborg University Denmark
machine learning
deep learning
distributed computing
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Nicolas Loizou
Johns Hopkins University United States of America
distributed decentralized algorithms
machine learning
deep learning
large-scale optimization
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Chuan He
Linköping University Sweden
machine learning
deep learning
large-scale optimization
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Qixing Huang
University of Texas at Austin United States of America
machine learning
deep learning
large-scale optimization
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Andersen Ang
University of Southampton United Kingdom
machine learning
optimization algorithm
mathematical programming
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Yee Teh
University of Oxford United Kingdom
machine learning
deep learning
large scale machine learning
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Viktoriia Sharmanska
Imperial College London United Kingdom
machine learning
deep learning
algorithmic fairness
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Utsav Sadana
University of Montreal Canada
machine learning
reliability algorithms
mathematical optimization
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Mark Van Oyen
University of Michigan United States of America
machine learning
stochastic optimization
online stochastic optimization
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Dafna Sussman
Toronto Metropolitan University Canada
machine learning
deep learning
automatic image segmentation
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Michael Alvarez
California Institute of Technology United States of America
machine learning
deep learning
statistical computation modeling
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