Reliable Machine Learning Professors in Global

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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
structured machine learning
interactive machine learning
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
deep learning
federated machine learning
robust learning
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Geoff Pleiss
University of British Columbia Canada
reliable deep learning
machine learning
probabilistic machine learning
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Sophia Wilson
University of Copenhagen Denmark
resource efficient machine learning
data efficient machine learning
machine learning
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Flora Salim
University of New South Wales Australia
trustworthy machine learning
robust machine learning
multimodal machine learning
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Henrik Boström
KTH Royal Institute of Technology Sweden
trustworthy machine learning
explainable machine learning
probabilistic machine learning
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Shai Ben-david
University of Waterloo Canada
reliability in machine learning
machine learning
interpretability in machine learning
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Yingzhen Li
Imperial College London United Kingdom
machine learning
explainable machine learning
probabilistic machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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George Amvrosiadis
Carnegie Mellon University United States of America
machine learning
scalable machine learning
high performance computing
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Mårten Wadenbäck
Linköping University Sweden
machine learning
deep learning
robust feature matching
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Moez Ali
Queen's University Canada
machine learning
automated machine learning
automated modeling
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Tal Kachman
Radboud University Netherlands
machine learning
deep learning
financial machine learning
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Guang Cheng
University of California Los Angeles United States of America
trustworthy artificial intelligence
statistical machine learning
deep learning theory
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
explainable machine learning
deep learning
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Alessio Lomuscio
Imperial College London United Kingdom
robust machine learning
safe artificial intelligence
verification of neural networks
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Samir Maity
Aalborg University Denmark
machine learning
deep learning
predictive modeling
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Subham Sahoo
Aalborg University Denmark
scientific machine learning
probabilistic machine learning
reliability
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Marzyeh Ghassemi
Massachusetts Institute of Technology United States of America
healthy machine learning
behavioral machine learning
healthcare machine learning
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