Stochastic Filtering Professors in Global

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Krishna Balasubramanian
University of California, Davis United States of America
stochastic optimization
statistical learning
deep learning
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Ying Ma
Brown University United States of America
statistical learning
statistical optimization
deep learning
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Qixing Huang
University of Texas at Austin United States of America
machine learning
large-scale optimization
deep learning
statistical data analysis
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Spyridon Pougkakiotis
King's College London United Kingdom
stochastic optimisation
large-scale deterministic optimisation
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Vikram Krishnamurthy
Cornell University Netherlands
stochastic optimization
statistical signal processing
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Jacob Mays
Cornell University Netherlands
stochastic optimization
statistical learning
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Johannes Royset
University of Southern California United States of America
stochastic optimization
deterministic optimization
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Johannes Royset
University of Southern California United States of America
stochastic optimization
deterministic optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
stochastic optimization
large-scale optimization
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Hossein Hashemi Doulabi
Concordia University Canada
stochastic optimization
large-scale optimization
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Ali Beikmohammadi
Stockholm University Sweden
stochastic optimization
deep learning
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Xiucai Ding
University of California, Davis United States of America
stochastic optimization
deep learning
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Michael Chen
York University Canada
stochastic optimization
deep learning
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George Papavassilopoulos
University of Southern California United States of America
stochastic learning automata
nonlinear filtering
dynamic stochastic games
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James Hopgood
University of Edinburgh United Kingdom
stochastic nonstationarity
statistical signal processing
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Sahand Negahban
Yale University United States of America
statistical signal processing
machine learning
statistical learning
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
computational stochastic mechanics
probabilistic modeling
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Hon Kwan
University of Windsor Canada
digital filtering
machine learning
deep learning
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George Moustakides
University of Patras Greece
statistical signal processing
machine learning
sequential detection
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