Huang, Tzu-Kuo

15 publications

JMLR 2019 Active Learning for Cost-Sensitive Classification Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé Iii, John Langford

ICML 2017 Active Learning for Cost-Sensitive Classification Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé, John Langford

NeurIPS 2016 Active Learning with Oracle Epiphany Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu

UAI 2015 Active Search and Bandits on Graphs Using Sigma-Optimality Yifei Ma, Tzu-Kuo Huang, Jeff G. Schneider

NeurIPS 2015 Efficient and Parsimonious Agnostic Active Learning Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford, Robert E. Schapire

ICML 2014 Active Transfer Learning Under Model Shift Xuezhi Wang, Tzu-Kuo Huang, Jeff Schneider

NeurIPS 2013 Learning Hidden Markov Models from Non-Sequence Data via Tensor Decomposition Tzu-Kuo Huang, Jeff Schneider

ICML 2013 Spectral Learning of Hidden Markov Models from Dynamic and Static Data Tzu-Kuo Huang, Jeff Schneider

ECML-PKDD 2012 Learning Bi-Clustered Vector Autoregressive Models Tzu-Kuo Huang, Jeff G. Schneider

NeurIPS 2011 Learning Auto-Regressive Models from Sequence and Non-Sequence Data Tzu-kuo Huang, Jeff G. Schneider

ICML 2009 Learning Linear Dynamical Systems Without Sequence Information Tzu-Kuo Huang, Jeff G. Schneider

JMLR 2008 Ranking Individuals by Group Comparisons Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng

JMLR 2006 Generalized Bradley-Terry Models and Multi-Class Probability Estimates Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin

ICML 2006 Ranking Individuals by Group Comparisons Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng

NeurIPS 2004 A Generalized Bradley-Terry Model: From Group Competition to Individual Skill Tzu-kuo Huang, Chih-jen Lin, Ruby C. Weng