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Andrew R. Barron

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2007
19EEMokshay M. Madiman, Andrew R. Barron: Generalized Entropy Power Inequalities and Monotonicity Properties of Information. IEEE Transactions on Information Theory 53(7): 2317-2329 (2007)
2006
18EEMokshay M. Madiman, Andrew R. Barron: Generalized Entropy Power Inequalities and Monotonicity Properties of Information CoRR abs/cs/0605047: (2006)
17EEG. Leung, Andrew R. Barron: Information Theory and Mixing Least-Squares Regressions. IEEE Transactions on Information Theory 52(8): 3396-3410 (2006)
2004
16 Feng Liang, Andrew R. Barron: Exact minimax strategies for predictive density estimation, data compression, and model selection. IEEE Transactions on Information Theory 50(11): 2708-2726 (2004)
2001
15EEGerald H. L. Cheang, Andrew R. Barron: Penalized least squares, model selection, convex hull classes and neural nets. ESANN 2001: 371-376
2000
14 Qun Xie, Andrew R. Barron: Asymptotic minimax regret for data compression, gambling, and prediction. IEEE Transactions on Information Theory 46(2): 431-445 (2000)
1999
13EEJonathan Q. Li, Andrew R. Barron: Mixture Density Estimation. NIPS 1999: 279-285
1998
12 Yuhong Yang, Andrew R. Barron: An Asymptotic Property of Model Selection Criteria. IEEE Transactions on Information Theory 44(1): 95-116 (1998)
11 Andrew R. Barron, Jorma Rissanen, Bin Yu: The Minimum Description Length Principle in Coding and Modeling. IEEE Transactions on Information Theory 44(6): 2743- (1998)
1997
10 Andrew R. Barron: Information Theory in Probability, Statistics, Learning, and Neural Nets (Abstract). COLT 1997: 1
9 Qun Xie, Andrew R. Barron: Minimax redundancy for the class of memoryless sources. IEEE Transactions on Information Theory 43(2): 646-657 (1997)
1994
8 Andrew R. Barron: Approximation and Estimation Bounds for Artificial Neural Networks. Machine Learning 14(1): 115-133 (1994)
1993
7 Andrew R. Barron: Universal approximation bounds for superpositions of a sigmoidal function. IEEE Transactions on Information Theory 39(3): 930-945 (1993)
1992
6 Andrew R. Barron, László Györfi, Edward C. van der Meulen: Distribution estimation consistent in total variation and in two types of information divergence. IEEE Transactions on Information Theory 38(5): 1437-1454 (1992)
1991
5EEAndrew R. Barron: Approximation and Estimation Bounds for Artificial Neural Networks. COLT 1991: 243-249
4 Andrew R. Barron, Thomas M. Cover: Minimum complexity density estimation. IEEE Transactions on Information Theory 37(4): 1034-1054 (1991)
3 Andrew R. Barron, Thomas M. Cover: Correction to 'Minimum Complexity Density Estimation'. IEEE Transactions on Information Theory 37(6): 1738- (1991)
1990
2 Bertrand S. Clarke, Andrew R. Barron: Information-theoretic asymptotics of Bayes methods. IEEE Transactions on Information Theory 36(3): 453-471 (1990)
1988
1 Andrew R. Barron, Thomas M. Cover: A bound on the financial value of information. IEEE Transactions on Information Theory 34(5): 1097- (1988)

Coauthor Index

1Gerald H. L. Cheang [15]
2Bertrand S. Clarke [2]
3Thomas M. Cover [1] [3] [4]
4László Györfi [6]
5G. Leung [17]
6Jonathan Q. Li [13]
7Feng Liang [16]
8Mokshay M. Madiman [18] [19]
9Edward C. van der Meulen [6]
10Jorma Rissanen [11]
11Qun Xie [9] [14]
12Yuhong Yang [12]
13Bin Yu [11]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)