Michael I. Jordan
American scientist
For other people named Michael Jordan, see Michael Jordan (disambiguation).
Michael Irwin Jordan
Latent Dirichlet allocation
Fellow of the U.S. National Academy of Sciences[1]
AAAI Fellow (2002)
Rumelhart Prize (2015) [2]
IJCAI Award for Research Excellence (2016)
The Learning of Representations for Sequential Performance (1985)
Doctoral advisor
David Rumelhart
Donald Norman
Tamara Broderick
Zoubin Ghahramani
Emanuel Todorov
Andrew Ng
Eric Xing
David Blei
Daniel Wolpert
Other notable students
Ben Taskar (postdoc)
Yoshua Bengio (postdoc)
www.cs.berkeley.edu/~jordan
Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley and researcher in machine learning, statistics, and artificial intelligence.[3][4][5] He is one of the leading figures in machine learning, and in 2016 Science reported him as the world's most influential computer scientist.[6][7][8][9][10][11]
2 Work
2.1 Resignation from Machine Learning
3 Honors and awards
Jordan received his BS magna cum laude in Psychology in 1978 from the Louisiana State University, his MS in Mathematics in 1980 from Arizona State University and his PhD in Cognitive Science in 1985 from the University of California, San Diego.[12] At the University of California, San Diego, Jordan was a student of David Rumelhart and a member of the PDP Group in the 1980s.
Jordan is currently a full professor at the University of California, Berkeley where his appointment is split across the Department of Statistics and the Department of EECS. He was a professor at the Department of Brain and Cognitive Sciences at MIT from 1988 to 1998.[12]
Work[edit]
In the 1980s Jordan started developing recurrent neural networks as a cognitive model. In recent years, his work is less driven from a cognitive perspective and more from the background of traditional statistics.
Jordan popularised Bayesian networks in the machine learning community and is known for pointing out links between machine learning and statistics. He was also prominent in the formalisation of variational methods for approximate inference[1] and the popularisation of the expectation-maximization algorithm[13] in machine learning.
Resignation from Machine Learning[edit]
In 2001, Jordan and others resigned from the editorial board of the journal Machine Learning. In a public letter, they argued for less restrictive access and pledged support for a new open access journal, the Journal of Machine Learning Research, which was created by Leslie Kaelbling to support the evolution of the field of machine learning.[14]
Honors and awards[edit]
Jordan has received numerous awards, including a best student paper award[15] (with X. Nguyen and M. Wainwright) at the International Conference on Machine Learning (ICML 2004), a best paper award (with R. Jacobs) at the American Control Conference (ACC 1991), the ACM - AAAI Allen Newell Award, the IEEE Neural Networks Pioneer Award, and an NSF Presidential Young Investigator Award. In 2010 he was named a Fellow of the Association for Computing Machinery "for contributions to the theory and application of machine learning."[16]
Jordan is a member of the National Academy of Science, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences.
He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009.
In 2016, Jordan was identified as the "most influential computer scientist", based on an analysis of the published literature by the Semantic Scholar project.[17]
^ a b Zeliadt, N. (2013). "Profile of Michael I. Jordan". Proceedings of the National Academy of Sciences. 110 (4): 1141–1143. doi:10.1073/pnas.1222664110. PMC 3557047. PMID 23341554.
^ Bio highlights of Prof. MI Jordan
^ Jacobs, R. A.; Jordan, M. I.; Nowlan, S. J.; Hinton, G. E. (1991). "Adaptive Mixtures of Local Experts". Neural Computation. 3: 79–87. doi:10.1162/neco.1991.3.1.79.
^ David M. Blei, Andrew Y. Ng, Michael I. Jordan. Latent Dirichlet allocation. The Journal of Machine Learning Research, Volume 3, 3/1/2003
^ Michael I. Jordan, ed. Learning in Graphical Models. Proceedings of the NATO Advanced Study Institute, Ettore Maiorana Centre, Erice, Italy, September 27-October 7, 1996
^ "Who's the Michael Jordan of computer science? New tool ranks researchers' influence". Science | AAAS. 2016-04-19. Retrieved 2018-03-28.
^ "Top 50 authors in computer science" (PDF). Science.
^ ""Who is the Michael Jordan of computer science?"". Berkeley Engineering. 2016-11-01. Retrieved 2018-03-28.
^ Austria, IST. "IST Austria: Lecture by Michael I. Jordan available on IST Austria's YouTube channel". ist.ac.at. Retrieved 2018-03-28.
^ "Who's the Michael Jordan of Computer Science? New Tool Ranks Researchers' Influence | Careers | Communications of the ACM". cacm.acm.org. Retrieved 2018-03-28.
^ "Michael I. Jordan". awards.acm.org. Retrieved 2018-03-28.
^ a b Vitae MICHAEL I. JORDAN Department of Electrical Engineering and Computer Science, Department of Statistics, University of California. Accessed September 3, 2013
^ Jordan, M.I.; Jacobs, R.A. (1994). Hierarchical mixtures of experts and the EM algorithm. Neural Computation. 2. pp. 1339–1344. CiteSeerX 10.1.1.41.8567. doi:10.1109/IJCNN.1993.716791. ISBN 978-0-7803-1421-4. Retrieved 2015-12-19.
^ Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter (2001)
^ "Long Nguyen's Publications". Stat.lsa.umich.edu. Retrieved 2012-05-21.
^ "ACM Names 41 Fellows from World's Leading Institutions — Association for Computing Machinery". Acm.org. Archived from the original on 2012-04-28. Retrieved 2012-05-21.
Homepage (at University of California, Berkeley)
Published papers (chronological)
ACM DL: 81339507945
DBLP: j/MichaelIJordan
Retrieved from "https://en.wikipedia.org/w/index.php?title=Michael_I._Jordan&oldid=891067389"
Artificial intelligence researchers
Machine learning researchers
University of California, San Diego alumni
Fellows of the American Statistical Association
Fellows of the Association for the Advancement of Artificial Intelligence
University of California, Berkeley College of Engineering faculty
Fellows of the Association for Computing Machinery
Members of the United States National Academy of Sciences
Fellows of the American Academy of Arts and Sciences
Members of the United States National Academy of Engineering
Rumelhart Prize laureates
Fellows of the Society for Industrial and Applied Mathematics
Fellows of the Cognitive Science Society
Wikipedia articles with ACM-DL identifiers
Wikipedia articles with DBLP identifiers
Wikipedia articles with MGP identifiers
Place of birth missing (living people)
This page was last edited on 5 April 2019, at 13:01 (UTC).