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papers

  • 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.
public/papers.txt · Last modified: 2013/07/11 11:28 by htlin