Sparse Sampling Professors in Global

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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sampling
sparse recovery
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Mark Handcock
University of California Los Angeles United States of America
survey sampling
stochastic modeling
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Mahdi Cheraghchi
Imperial College London United Kingdom
sparse recovery
randomized computation
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Ivan Kryven
Utrecht University Netherlands
spectral properties of sparse graphs
stochastic analysis
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
sparse nonparametric models
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Guillermo Sapiro
Duke University Singapore
sparse modeling
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Joel Tropp
California Institute of Technology United States of America
sparse modeling
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Guillaume Obozinski
École Polytechnique Fédérale de Lausanne Switzerland
sparse modeling
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Irina Rish
University of Montreal Canada
sparse modeling
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Flavio Nicoletti
University of Gothenburg Sweden
sparse random graphs
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Line Clemmensen
Technical University of Denmark Denmark
sparse methods
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Juan Vera Lizcano
Tilburg University Netherlands
sparse methods
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Morten Nielsen
Aalborg University Denmark
sparse signal processing
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Elias Zea Marcano
KTH Royal Institute of Technology Sweden
sparse signal processing
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Tengyao Wang
London School of Economics United Kingdom
sparse signal detection
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Tatjana Pavlenko
Uppsala University Sweden
sparse signal detection
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Malcolm Wong
University of New South Wales Australia
sparse signal separation
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