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Kevin P. Murphy
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I am interested in AI, machine learning, Bayesian statistics, probabilistic graphical models, computer vision, and natural language processing.
He has published over 80 papers in refereed conferences and journals, as well as an 1100-page textbook called "Machine Learning: a Probabilistic Perspective" (MIT Press, 2012), which was awarded the 2013 DeGroot Prize for best book in the field of Statistical Science. Kevin was also the (co) Editor-in-Chief of JMLR (the Journal of Machine Learning Research) 2014--2017.
He has published over 80 papers in refereed conferences and journals, as well as an 1100-page textbook called "Machine Learning: a Probabilistic Perspective" (MIT Press, 2012), which was awarded the 2013 DeGroot Prize for best book in the field of Statistical Science. Kevin was also the (co) Editor-in-Chief of JMLR (the Journal of Machine Learning Research) 2014--2017.
Papers170 papers
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ICLR, (2020)
Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan,Kevin Murphy,Lucy Colwell, D. Sculley
ICML, pp.324-334, (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 92-102
ICLR, (2019)
ICML, pp.2638-2647, (2019)
ICLR, (2019)
ICCV Workshops, pp.4065-4074, (2019)
ICCV, pp.7463-7472, (2019)
CVPR, pp.10505-10515, (2019)
international conference on learning representations, (2019)
Bibtex
CVPR, (2019)
International Conference on Computer Vision, (2019): 7464-7473
arXiv: Learning, (2019)
CVPR, (2019)
GECCO '20: Genetic and Evolutionary Computation Conference
Cancún
Mexico
July,..., (2019): 189-190
CVPR, pp.4610-4619, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 9414-9426
CoRR, (2019): 4065-4074
CoRR, (2019)
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