Dayu Huang

Feature Selection for Neuro-Dynamic Programming

Sean P. Meyn, P. Mehta, A. Surana, 2013 .

Mismatched divergence and universal hypothesis testing

Dayu Huang, 2010 .

Hypothesis testing and learning with small samples

Dayu Huang, 2013 .

Generalized Error Exponents for Small Sample Universal Hypothesis Testing

Sean P. Meyn, Dayu Huang, Dayu Huang, 2012, IEEE Transactions on Information Theory.

Detecting trend in randomly switched measurements

Xing Wang, Marco Guerriero, Dayu Huang, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Weak Convergence Analysis of Asymptotically Optimal Hypothesis Tests

Jayakrishnan Unnikrishnan, Dayu Huang, J. Unnikrishnan, 2016, IEEE Transactions on Information Theory.

Approximate dynamic programming using fluid and diffusion approximations with applications to power management

Adam Wierman, Quanyan Zhu, Sean P. Meyn, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Statistical SVMs for robust detection, supervised learning, and universal classification

Sean P. Meyn, Venugopal V. Veeravalli, Jayakrishnan Unnikrishnan, 2009, 2009 IEEE Information Theory Workshop on Networking and Information Theory.

Classification with high-dimensional sparse samples

Sean P. Meyn, Dayu Huang, Dayu Huang, 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

Optimal Kullback–Leibler approximation of Markov chains via nuclear norm regularisation

Kun Deng, Dayu Huang, Dayu Huang, 2015, Int. J. Syst. Sci..

Feature selection for composite hypothesis testing with small samples: Fundamental limits and algorithms

Sean P. Meyn, Dayu Huang, Dayu Huang, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Universal and Composite Hypothesis Testing via Mismatched Divergence

Sean P. Meyn, Venugopal V. Veeravalli, Jayakrishnan Unnikrishnan, 2009, IEEE Transactions on Information Theory.