Online Learning with Queries. - Chao-Kai Chiang; Chi-Jen Lu (SODA, 2010)

Online Optimization with Gradual Variations. - Chao-Kai Chiang; Tianbao Yang; Chia-Jung Lee; Mehrdad Mahdavi; Chi-Jen Lu; Rong Jin 001; Shenghuo Zhu (COLT, 2012)

Beating Bandits in Gradually Evolving Worlds. - Chao-Kai Chiang; Chia-Jung Lee; Chi-Jen Lu (COLT, 2013)

Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions. - Ku-Chun Chou; Hsuan-Tien Lin; Chao-Kai Chiang; Chi-Jen Lu (ACML, 2014)

Resisting Dynamic Strategies in Gradually Evolving Worlds. - Chia-Jung Lee; Chao-Kai Chiang; Mu-En Wu (RVSP, 2015)

Pareto Front Identification from Stochastic Bandit Feedback. - Peter Auer; Chao-Kai Chiang; Ronald Ortner; Madalina M. Drugan (AISTATS, 2016)

An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits. - Peter Auer; Chao-Kai Chiang (COLT, 2016)

Federated Multi-Task Learning. - Virginia Smith; Chao-Kai Chiang; Maziar Sanjabi; Ameet Talwalkar (NIPS, 2017)

Online Learning Problems against Dynamic Strategies in Gradually Evolving Worlds. - Chia-Jung Lee; Chao-Kai Chiang; Mu-En Wu (J. Inf. Hiding Multim. Signal Process., 2017)

Hyper-parameter Tuning under a Budget Constraint. - Zhiyun Lu; Liyu Chen; Chao-Kai Chiang; Fei Sha (IJCAI, 2019)

Hyper-parameter Tuning under a Budget Constraint. - Zhiyun Lu; Chao-Kai Chiang; Fei Sha (CoRR, 2019)

Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits. - Jongyeong Lee; Junya Honda; Chao-Kai Chiang; Masashi Sugiyama (ICML, 2023)

Imitation Learning from Vague Feedback. - Xin-Qiang Cai; Yu-Jie Zhang; Chao-Kai Chiang; Masashi Sugiyama (NeurIPS, 2023)

Asymptotically Optimal Thompson Sampling Based Policy for the Uniform Bandits and the Gaussian Bandits. - Jongyeong Lee; Chao-Kai Chiang; Masashi Sugiyama (CoRR, 2023)

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models. - Jongyeong Lee; Chao-Kai Chiang; Masashi Sugiyama (AAAI, 2024)

Domain Adaptation and Entanglement: an Optimal Transport Perspective. - Okan Koc; Alexander Soen; Chao-Kai Chiang; Masashi Sugiyama (AISTATS, 2025)

Unified Risk Analysis for Weakly Supervised Learning. - Chao-Kai Chiang; Masashi Sugiyama (Trans. Mach. Learn. Res., 2025)