Radford M. Neal

Neal studied computer science at the University of Calgary, where he received his B.Sc. in 1977 and M.Sc. in 1980, with thesis work supervised by David Hill. He worked for several years as a sessional instructor at the University of Calgary and as a statistical consultant in the industry before coming back to the academia. Neal continued his study at the University of Toronto, where he received his Ph.D. in 1995 under the supervision of Geoffrey Hinton.{{Cite web |last=Neal |first=Radford M. |date=2022-05-31 |title=Curriculum Vitae |url=https://glizen.com/radfordneal/cv.pdf }} Neal became an assistant professor at the University of Toronto in 1995, an associated professor in 1999 and a full professor since 2001. He was the Canada Research Chair in Statistics and Machine Learning from 2003 to 2016 and retired in 2017.

Neal has made great contributions in the area of machine learning and statistics, where he is particularly well known for his work on Markov chain Monte Carlo,

{{cite report | last = Neal | first = Radford | title = Probabilistic Inference Using Markov Chain Monte Carlo Methods | pages = 144

| publisher = Technical Report CRG-TR-93-1, Department of Computer Science, University of Toronto | date = 1993 | url = http://www.cs.toronto.edu/~radford/ftp/review.pdf | access-date = 9 May 2015}} {{cite book |last=Neal |first=Radford M |title=Handbook of Markov Chain Monte Carlo|year=2011 |publisher=Chapman and Hall/CRC |isbn=978-0470177938 |editor=Steve Brooks |editor2=Andrew Gelman |editor3=Galin L. Jones |editor4=Xiao-Li Meng|chapter=MCMC Using Hamiltonian Dynamics |chapter-url=http://www.mcmchandbook.net/HandbookChapter5.pdf}} error correcting codes{{Cite journal | last1 = MacKay | first1 = D. J. C. | author-link1 = David J. C. MacKay| last2 = Neal | first2 = R. M. | doi = 10.1049/el:19961141 | title = Near Shannon limit performance of low density parity check codes | journal = Electronics Letters | volume = 32 | issue = 18 | pages = 1645 | year = 1996 | bibcode = 1996ElL....32.1645M }} and Bayesian learning for neural networks.{{Cite book | doi = 10.1007/978-1-4612-0745-0| title = Bayesian Learning for Neural Networks| volume = 118| series = Lecture Notes in Statistics| year = 1996| last1 = Neal | first1 = R. M. | isbn = 978-0-387-94724-2}} He is also known for his blog{{cite web |url=https://radfordneal.wordpress.com/ |title=Radford Neal's blog |access-date=9 May 2015}} and as the developer of pqR: a new version of the R interpreter.{{cite web |url=http://www.pqr-project.org/ |title=pqR - a pretty quick version of R |access-date=9 May 2015}}

• {{Cite book |last=Neal |first=Radford M. |url=https://www.worldcat.org/oclc/34894370 |title=Bayesian learning for neural networks |date=1996 |publisher=Springer |isbn=0-387-94724-8 |location=New York |oclc=34894370}}
• {{Cite book |last=Neal |first=Radford M. |editor-first1=Steve |editor-first2=Andrew |editor-first3=Galin |editor-first4=Xiao-Li |editor-last1=Brooks |editor-last2=Gelman |editor-last3=Jones |editor-last4=Meng |date=2011-05-10 |title=MCMC using Hamiltonian dynamics |doi=10.1201/b10905|arxiv=1206.1901 |bibcode=2011hmcm.book..113N |isbn=9780429138508 |s2cid=1048042 }}

• {{Cite journal |last1=Witten |first1=Ian H. |last2=Neal |first2=Radford M. |last3=Cleary |first3=John G. |date=1987 |title=Arithmetic coding for data compression |journal=Communications of the ACM |language=en |volume=30 |issue=6 |pages=520–540 |doi=10.1145/214762.214771 |s2cid=3343393 |issn=0001-0782|doi-access=free }}
• {{Cite journal |last1=Hinton |first1=Geoffrey E. |last2=Dayan |first2=Peter |last3=Frey |first3=Brendan J. |last4=Neal |first4=Radford M. |date=1995-05-26 |title=The "Wake-Sleep" Algorithm for Unsupervised Neural Networks |url=https://www.science.org/doi/10.1126/science.7761831 |journal=Science |language=en |volume=268 |issue=5214 |pages=1158–1161 |doi=10.1126/science.7761831 |pmid=7761831 |bibcode=1995Sci...268.1158H |s2cid=871473 |issn=0036-8075}}
• {{Cite journal |last1=Dayan |first1=Peter |last2=Hinton |first2=Geoffrey E. |last3=Neal |first3=Radford M. |last4=Zemel |first4=Richard S. |date=1995 |title=The Helmholtz Machine |url=https://direct.mit.edu/neco/article/7/5/889-904/5898 |journal=Neural Computation |language=en |volume=7 |issue=5 |pages=889–904 |doi=10.1162/neco.1995.7.5.889 |pmid=7584891 |s2cid=1890561 |issn=0899-7667}}
• {{Cite journal |last=Neal |first=Radford M. |date=2000 |title=Markov Chain Sampling Methods for Dirichlet Process Mixture Models |url=https://www.jstor.org/stable/1390653 |journal=Journal of Computational and Graphical Statistics |volume=9 |issue=2 |pages=249–265 |doi=10.2307/1390653 |jstor=1390653 |issn=1061-8600}}
• {{Cite journal |last=Neal |first=Radford M. |date=2001 |title=Annealed importance sampling |url=http://link.springer.com/10.1023/A:1008923215028 |journal=Statistics and Computing |volume=11 |issue=2 |pages=125–139 |doi=10.1023/A:1008923215028|s2cid=11112994 }}
• {{Cite journal |last=Neal |first=Radford M. |date=2003-06-01 |title=Slice sampling |journal=The Annals of Statistics |volume=31 |issue=3 |doi=10.1214/aos/1056562461 |issn=0090-5364|doi-access=free }}
• {{Cite journal |last1=Jain |first1=Sonia |last2=Neal |first2=Radford M. |date=2007-09-01 |title=Splitting and merging components of a nonconjugate Dirichlet process mixture model |journal=Bayesian Analysis |volume=2 |issue=3 |doi=10.1214/07-BA219 |issn=1936-0975|doi-access=free }}
• {{Cite journal |last1=Shahbaba |first1=Babak |last2=Lan |first2=Shiwei |last3=Johnson |first3=Wesley O. |last4=Neal |first4=Radford M. |date=2014 |title=Split Hamiltonian Monte Carlo |url=http://link.springer.com/10.1007/s11222-012-9373-1 |journal=Statistics and Computing |language=en |volume=24 |issue=3 |pages=339–349 |doi=10.1007/s11222-012-9373-1 |s2cid=255067283 |issn=0960-3174|arxiv=1106.5941 }}

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Category:Living people

Category:1956 births

Category:University of Calgary alumni

Category:Computational statisticians

Category:University of Toronto alumni

Category:Academic staff of the University of Toronto

Category:Canadian statisticians

Category:Machine learning researchers

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