| 2007 |
|---|
| 19 | EE | Mokshay 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 |
|---|
| 18 | EE | Mokshay M. Madiman,
Andrew R. Barron:
Generalized Entropy Power Inequalities and Monotonicity Properties of Information
CoRR abs/cs/0605047: (2006) |
| 17 | EE | G. 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 |
|---|
| 15 | EE | Gerald 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 |
|---|
| 13 | EE | Jonathan 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 |
|---|
| 5 | EE | Andrew 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) |
