Andrew R. Barron

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 12

Top Topics

Normalized Maximum Likelihood

Top Venues

IEEE Trans. Inf. Theory

Found. Trends Commun. Inf. Theory

Publications

Curtis McDonald, Andrew R. Barron
Log-Concave Coupling for Sampling Neural Net Posteriors. CoRR (2024)
Jun'ichi Takeuchi, Andrew R. Barron
Asymptotically Minimax Regret by Bayes Mixtures. CoRR (2024)
Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi
Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families. CoRR (2023)
Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron
Sparse Regression Codes. CoRR (2019)
Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron
Sparse Regression Codes. Found. Trends Commun. Inf. Theory 15 (1-2) (2019)
Andrew R. Barron, Jason M. Klusowski
Complexity, Statistical Risk, and Metric Entropy of Deep Nets Using Total Path Variation. CoRR (2019)
Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi
Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families. ISIT (2019)
Jason M. Klusowski, Andrew R. Barron
Controls. IEEE Trans. Inf. Theory 64 (12) (2018)
Andrew R. Barron, Jason M. Klusowski
Approximation and Estimation for High-Dimensional Deep Learning Networks. CoRR (2018)
Jason M. Klusowski, Andrew R. Barron
Minimax lower bounds for ridge combinations including neural nets. ISIT (2017)
Xiao Yang, Andrew R. Barron
Minimax Compression and Large Alphabet Approximation Through Poissonization and Tilting. IEEE Trans. Inf. Theory 63 (5) (2017)
Jason M. Klusowski, Andrew R. Barron
Minimax Lower Bounds for Ridge Combinations Including Neural Nets. CoRR (2017)
Sabyasachi Chatterjee, Andrew R. Barron
Information theoretic validity of penalized likelihood. ISIT (2014)
Jun'ichi Takeuchi, Andrew R. Barron
Stochastic Complexity for tree models. ITW (2014)
Jun'ichi Takeuchi, Andrew R. Barron
Asymptotically minimax regret for models with hidden variables. ISIT (2014)
Andrew R. Barron, Teemu Roos, Kazuho Watanabe
Bayesian properties of normalized maximum likelihood and its fast computation. ISIT (2014)
Xiao Yang, Andrew R. Barron
Large Alphabet Compression and Predictive Distributions through Poissonization and Tilting. CoRR (2014)
Andrew R. Barron, Teemu Roos, Kazuho Watanabe
Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation. CoRR (2014)
Xiao Yang, Andrew R. Barron
Compression and predictive distributions for large alphabet i.i.d and Markov models. ISIT (2014)
Antony Joseph, Andrew R. Barron
Fast Sparse Superposition Codes Have Near Exponential Error Probability for $R<{\cal C}$. IEEE Trans. Inf. Theory 60 (2) (2014)
Jun'ichi Takeuchi, Tsutomu Kawabata, Andrew R. Barron
Properties of Jeffreys Mixture for Markov Sources. IEEE Trans. Inf. Theory 59 (1) (2013)
Jun'ichi Takeuchi, Andrew R. Barron
Asymptotically minimax regret by Bayes mixtures for non-exponential families. ITW (2013)
Antony Joseph, Andrew R. Barron
Least Squares Superposition Codes of Moderate Dictionary Size Are Reliable at Rates up to Capacity. IEEE Trans. Inf. Theory 58 (5) (2012)
Ali N. Akansu, Sanjeev R. Kulkarni, Marco Avellaneda, Andrew R. Barron
Introduction to the Issue on Signal Processing Methods in Finance and Electronic Trading. IEEE J. Sel. Top. Signal Process. 6 (4) (2012)
Antony Joseph, Andrew R. Barron
Fast Sparse Superposition Codes have Exponentially Small Error Probability for R < C CoRR (2012)
Andrew R. Barron, Sanghee Cho
High-rate sparse superposition codes with iteratively optimal estimates. ISIT (2012)
Emmanuel Abbe, Andrew R. Barron
Polar coding schemes for the AWGN channel. ISIT (2011)
Andrew R. Barron, Antony Joseph
Analysis of fast sparse superposition codes. ISIT (2011)
Andrew R. Barron, Antony Joseph
Least squares superposition codes of moderate dictionary size, reliable at rates up to capacity. ISIT (2010)
Andrew R. Barron, Antony Joseph
Least Squares Superposition Codes of Moderate Dictionary Size, Reliable at Rates up to Capacity CoRR (2010)
Andrew R. Barron, Antony Joseph
Toward fast reliable communication at rates near capacity with Gaussian noise. ISIT (2010)
Andrew R. Barron, Antony Joseph
Toward Fast Reliable Communication at Rates Near Capacity with Gaussian Noise CoRR (2010)
Serdar Durdagi, Claudiu T. Supuran, T. Amanda Strom, Nadjmeh Doostdar, Mananjali K. Kumar, Andrew R. Barron, Thomas M. Mavromoustakos, Manthos G. Papadopoulos
Drug Screening Approach for the Design of Magic Bullets: A Successful Example with Anti-HIV Fullerene Derivatized Amino Acids. J. Chem. Inf. Model. 49 (5) (2009)
Mokshay M. Madiman, Andrew R. Barron, Abram Kagan, Tinghui Yu
A model for pricing data bundles based on minimax risks for estimation of a location parameter. ITW (2009)
Andrew R. Barron, Cong Huang, Jonathan Q. Li, Xi Luo
MDL, penalized likelihood, and statistical risk. ITW (2008)
Mokshay M. Madiman, Andrew R. Barron
Generalized Entropy Power Inequalities and Monotonicity Properties of Information. IEEE Trans. Inf. Theory 53 (7) (2007)
Mokshay Madiman, Andrew R. Barron
The Monotonicity of Information in the Central Limit Theorem and Entropy Power Inequalities. ISIT (2006)
Gilbert Leung, Andrew R. Barron
Information Theory and Mixing Least-Squares Regressions. IEEE Trans. Inf. Theory 52 (8) (2006)
Mokshay M. Madiman, Andrew R. Barron
Generalized Entropy Power Inequalities and Monotonicity Properties of Information CoRR (2006)
Gilbert Leung, Andrew R. Barron
Combining least-squares regressions: an upper-bound on mean-squared error. ISIT (2005)
Feng Liang, Andrew R. Barron
Exact minimax strategies for predictive density estimation, data compression, and model selection. IEEE Trans. Inf. Theory 50 (11) (2004)
Gerald H. L. Cheang, Andrew R. Barron
Penalized least squares, model selection, convex hull classes and neural nets. ESANN (2001)
Qun Xie, Andrew R. Barron
Asymptotic minimax regret for data compression, gambling, and prediction. IEEE Trans. Inf. Theory 46 (2) (2000)
Gerald H. L. Cheang, Andrew R. Barron
Estimation with two hidden layer neural nets. IJCNN (1999)
Jonathan Q. Li, Andrew R. Barron
Mixture Density Estimation. NIPS (1999)
Yuhong Yang, Andrew R. Barron
An Asymptotic Property of Model Selection Criteria. IEEE Trans. Inf. Theory 44 (1) (1998)
Andrew R. Barron, Jorma Rissanen, Bin Yu
The Minimum Description Length Principle in Coding and Modeling. IEEE Trans. Inf. Theory 44 (6) (1998)
Qun Xie, Andrew R. Barron
Minimax redundancy for the class of memoryless sources. IEEE Trans. Inf. Theory 43 (2) (1997)
Andrew R. Barron
Information Theory in Probability, Statistics, Learning, and Neural Nets (Abstract). COLT (1997)
Andrew R. Barron
Approximation and Estimation Bounds for Artificial Neural Networks. Mach. Learn. 14 (1) (1994)
Andrew R. Barron
Universal approximation bounds for superpositions of a sigmoidal function. IEEE Trans. Inf. Theory 39 (3) (1993)
Andrew R. Barron, László Györfi, Edward C. van der Meulen
Distribution estimation consistent in total variation and in two types of information divergence. IEEE Trans. Inf. Theory 38 (5) (1992)
Andrew R. Barron, Thomas M. Cover
Minimum complexity density estimation. IEEE Trans. Inf. Theory 37 (4) (1991)
Andrew R. Barron
Approximation and Estimation Bounds for Artificial Neural Networks. COLT (1991)
Andrew R. Barron, Thomas M. Cover
Correction to 'Minimum Complexity Density Estimation'. IEEE Trans. Inf. Theory 37 (6) (1991)
Bertrand S. Clarke, Andrew R. Barron
Information-theoretic asymptotics of Bayes methods. IEEE Trans. Inf. Theory 36 (3) (1990)
Andrew R. Barron, Thomas M. Cover
A bound on the financial value of information. IEEE Trans. Inf. Theory 34 (5) (1988)