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All publications by Tzu-kuo Huang
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Efficient and Parsimonious Agnostic Active Learning
Tzu-kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford and Robert E. Schapire
Advances in Neural Information Processing Systems 28, 2015


Active Transfer Learning under Model Shift
Xuezhi Wang, Tzu-kuo Huang and Jeff Schneider
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Spectral Learning of Hidden Markov Models from Dynamic and Static Data
Tzu-kuo Huang and Jeff Schneider
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
Tzu-kuo Huang and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


Learning Auto-regressive Models from Sequence and Non-sequence Data
Tzu-kuo Huang and Jeff G. Schneider
Advances in Neural Information Processing Systems 24, 2011


Learning Nonlinear Dynamic Models from Non-sequenced Data
Tzu-kuo Huang, Le Song and Jeff G. Schneider
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Learning linear dynamical systems without sequence information
Tzu-kuo Huang and Jeff G. Schneider
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Ranking individuals by group comparisons
Tzu-kuo Huang, Chih-jen Lin and Ruby C. Weng
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Generalized Bradley-Terry Models and Multi-Class Probability Estimates
Tzu-kuo Huang, Ruby C. Weng and Chih-jen Lin
Journal of Machine Learning Research, 2006


A Generalized Bradley-Terry Model: From Group Competition to Individual Skill
Tzu-kuo Huang, Chih-jen Lin and Ruby C. Weng
Advances in Neural Information Processing Systems 17, 2004