| 2020 | AISTATS | Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. | Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn |
| 2018 | COLT | Action-Constrained Markov Decision Processes With Kullback-Leibler Cost. | Ana Busic, Sean P. Meyn |
| 2012 | ICASSP | Feature selection for composite hypothesis testing with small samples: Fundamental limits and algorithms. | Dayu Huang, Sean P. Meyn |
| 2012 | ICASSP | Error exponents for composite hypothesis testing with small samples. | Dayu Huang, Sean P. Meyn |
| 2012 | ISIT | Classification with high-dimensional sparse samples. | Dayu Huang, Sean P. Meyn |
| 2012 | ITA | Optimality of coincidence-based goodness of fit test for sparse sample problems. | Dayu Huang, Sean P. Meyn |
| 2010 | ISIT | Feature extraction for universal hypothesis testing via rank-constrained optimization. | Dayu Huang, Sean P. Meyn |
| 2010 | ITW | On thresholds for robust goodness-of-fit tests. | Jayakrishnan Unnikrishnan, Sean P. Meyn, Venugopal V. Veeravalli |
| 2009 | ISIT | Least favorable distributions for robust quickest change detection. | Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli, Sean P. Meyn |
| 2009 | ITW | Statistical SVMs for robust detection, supervised learning, and universal classification. | Dayu Huang, Jayakrishnan Unnikrishnan, Sean P. Meyn, Venugopal V. Veeravalli, Amit Surana |
| 2008 | AAAI | Piecewise Linear Dynamic Programming for Constrained POMDPs. | Joshua D. Isom, Sean P. Meyn, Richard D. Braatz |
| 2008 | ICML | An analysis of reinforcement learning with function approximation. | Francisco S. Melo, Sean P. Meyn, M. Isabel Ribeiro |
| 2005 | ISIT | Relative entropy and exponential deviation bounds for general Markov chains. | Ioannis Kontoyiannis, Luis Alfonso Lastras-Montao, Sean P. Meyn |
| 2004 | ISIT | Error exponents for channel coding and signal constellation design. | Jianyi Huang, Sean P. Meyn, Muriel Mdard |
| 2004 | ISIT | Asymptotic robust Neyman-Pearson hypothesis testing based on moment classes. | Charuhas Pandit, Sean P. Meyn, Venugopal V. Veeravalli |
| 2004 | ITW | Extremal distributions in information theory and hypothesis testing. | Charuhas Pandit, Jianyi Huang, Sean P. Meyn, Venugopal V. Veeravalli |
| 1997 | WSC | Efficient Simulation of Multiclass Queueing Networks. | Shane G. Henderson, Sean P. Meyn |