Computational Learning Lab.

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====== papers ======
  * [[http://www.csie.ntu.edu.tw/~htlin/paper/|Papers that Professor Hsuan-Tien Lin has co-authored]]
  * Chao-Kai Chiang, Chia-Jung Lee and Chi-Jen Lu. Beating Bandits in Gradually Evolving Worlds. COLT 2013.
  * Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu: Online Optimization with Gradual Variations. COLT 2012.
  * Chao-Kai Chiang, Chi-Jen Lu: Online Learning with Queries. SODA 2010.
====== thesis ======
  * Ya-Hsuan Chang. Study on Contextual Bandit Problem with Multiple Actions. Master's Thesis, 2013.
  * Ku-Chun Chou. Pseudo-reward Algorithms for Linear Contextual Bandit Problems. Master's Thesis, 2013.
  * Yu-Cheng Chou. Machine Learning Approaches for Interactive Verification. Master's Thesis, 2013.
  * Chun-Liang Li. Condensed Filter Tree For Cost Sensitive Multi-Label Classification. Master's Thesis, 2013.
  * Wei-Yuan Shen. Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking. Master's Thesis, 2013.
  * Po-Lung Chen. Active Learning for Multiclass Cost-sensitive Classification Using Probabilistic Models. Master's Thesis, 2012.
  * Yao-Nan Chen. Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem. Master's Thesis, 2012.
  * Chun-Sung Ferng. Multi-label Classification with Hard-/soft-decoded Error-correcting Codes. Master's Thesis, 2012.
  * Yu-Xun Ruan. Studies on Ordinal Ranking with Regression. Master's Thesis, 2011.
  * Chen-Wei Hung. Multi-label Active Learning with Auxiliary Learner. Master's Thesis, 2011.
  * Te-Kang Jan. A Comparison of Methods for Cost-sensitive Support Vector Machines. Master's Thesis, 2010.
  * Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master's Thesis, 2010.
  * Hanhsing Tu. Regression Approaches for Multi-class Cost-sensitive Classification. Master's Thesis, 2009.
Computational Learning Lab.

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