| 2024 | ISIT | Log-Concave Coupling for Sampling Neural Net Posteriors. | Curtis McDonald, Andrew R. Barron |
| 2019 | ISIT | Improved MDL Estimators Using Local Exponential Family Bundles Applied to Mixture Families. | Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi |
| 2017 | ISIT | Minimax lower bounds for ridge combinations including neural nets. | Jason M. Klusowski, Andrew R. Barron |
| 2014 | ISIT | Bayesian properties of normalized maximum likelihood and its fast computation. | Andrew R. Barron, Teemu Roos, Kazuho Watanabe |
| 2014 | ISIT | Information theoretic validity of penalized likelihood. | Sabyasachi Chatterjee, Andrew R. Barron |
| 2014 | ISIT | Asymptotically minimax regret for models with hidden variables. | Jun'ichi Takeuchi, Andrew R. Barron |
| 2014 | ISIT | Compression and predictive distributions for large alphabet i.i.d and Markov models. | Xiao Yang, Andrew R. Barron |
| 2014 | ITW | Stochastic Complexity for tree models. | Jun'ichi Takeuchi, Andrew R. Barron |
| 2013 | ITW | Asymptotically minimax regret by Bayes mixtures for non-exponential families. | Jun'ichi Takeuchi, Andrew R. Barron |
| 2012 | ISIT | High-rate sparse superposition codes with iteratively optimal estimates. | Andrew R. Barron, Sanghee Cho |
| 2011 | ISIT | Polar coding schemes for the AWGN channel. | Emmanuel Abbe, Andrew R. Barron |
| 2011 | ISIT | Analysis of fast sparse superposition codes. | Andrew R. Barron, Antony Joseph |
| 2010 | ISIT | Least squares superposition codes of moderate dictionary size, reliable at rates up to capacity. | Andrew R. Barron, Antony Joseph |
| 2010 | ISIT | Toward fast reliable communication at rates near capacity with Gaussian noise. | Andrew R. Barron, Antony Joseph |
| 2009 | ITW | A model for pricing data bundles based on minimax risks for estimation of a location parameter. | Mokshay M. Madiman, Andrew R. Barron, Abram Kagan, Tinghui Yu |
| 2008 | ITW | MDL, penalized likelihood, and statistical risk. | Andrew R. Barron, Cong Huang, Jonathan Q. Li, Xi Luo |
| 2006 | ISIT | The Monotonicity of Information in the Central Limit Theorem and Entropy Power Inequalities. | Mokshay Madiman, Andrew R. Barron |
| 2005 | ISIT | Combining least-squares regressions: an upper-bound on mean-squared error. | Gilbert Leung, Andrew R. Barron |
| 2001 | ESANN | Penalized least squares, model selection, convex hull classes and neural nets. | Gerald H. L. Cheang, Andrew R. Barron |
| 1999 | IJCNN | Estimation with two hidden layer neural nets. | Gerald H. L. Cheang, Andrew R. Barron |
| 1997 | COLT | Information Theory in Probability, Statistics, Learning, and Neural Nets (Abstract). | Andrew R. Barron |
| 1991 | COLT | Approximation and Estimation Bounds for Artificial Neural Networks. | Andrew R. Barron |