Robust Classification Professors in Global

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Sebastian Denzler
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
robust bayesian optimization
distributionally robust optimization
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Cassio De Campos
Eindhoven University of Technology Belgium
robust artificial intelligence
reliable machine learning
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Sebastian Scherer
Carnegie Mellon University United States of America
robust algorithms
resilient robotics
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Anastasios Magdalinos
University of Southampton United Kingdom
robust inference
predictive regressions
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Huan Yu
University of Southampton United Kingdom
robust optimization
reinforcement learning
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Constantine Caramanis
University of Texas at Austin United States of America
robust optimization
reinforcement learning
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Tobias Eifler
Technical University of Denmark Denmark
structural robustness
robust design
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Elizaveta Rebrova
Princeton University United States of America
robust interpretable learning
randomized algorithms
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Elizaveta Rebrova
Princeton University United States of America
robust interpretable learning
randomized algorithms
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Jingjing Wu
University of Calgary Canada
efficiency robustness
classification
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Quan Nguyen
University of Southern California United States of America
robust adaptive control
reinforcement learning
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Guy Lacroix
Carleton University Canada
classification
categorization
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D.m.j. Tax
Delft University of Technology Netherlands
classification
pattern recognition
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Paul Mcnicholas
McMaster University Canada
classification
pattern recognition
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John Oommen
Carleton University Canada
statistical pattern recognition
pattern recognition
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Xin Fei
University of Edinburgh United Kingdom
reinforcement learning
statistical ranking selection
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Jochen Renz
Australian National University Australia
qualitative reasoning
efficient algorithms
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Neil Stewart
University of Montreal Canada
robust algorithms
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Omar El Housni
Cornell University Netherlands
robust algorithms
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Thatchaphol Saranurak
University of Michigan United States of America
robust algorithms
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Johan Lyhagen
Uppsala University Sweden
robust inference
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