Chao-Kai Chiang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Multi Armed Bandit

Parameter Tuning

Top Venues

Publications

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models. AAAI (2024)
Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits. ICML (2023)
Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits. CoRR (2023)
Chao-Kai Chiang, Masashi Sugiyama
Unified Risk Analysis for Weakly Supervised Learning. CoRR (2023)
Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama
Imitation Learning from Vague Feedback. NeurIPS (2023)
Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama
Asymptotically Optimal Thompson Sampling Based Policy for the Uniform Bandits and the Gaussian Bandits. CoRR (2023)
Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha
Hyper-parameter Tuning under a Budget Constraint. IJCAI (2019)
Zhiyun Lu, Chao-Kai Chiang, Fei Sha
Hyper-parameter Tuning under a Budget Constraint. CoRR (2019)
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar
Federated Multi-Task Learning. CoRR (2017)
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet S. Talwalkar
Federated Multi-Task Learning. NIPS (2017)
Chia-Jung Lee, Chao-Kai Chiang, Mu-En Wu
Online Learning Problems against Dynamic Strategies in Gradually Evolving Worlds. J. Inf. Hiding Multim. Signal Process. 8 (4) (2017)
Peter Auer, Chao-Kai Chiang
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits. COLT (2016)
Peter Auer, Chao-Kai Chiang
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits. CoRR (2016)
Peter Auer, Chao-Kai Chiang, Ronald Ortner, Madalina M. Drugan
Pareto Front Identification from Stochastic Bandit Feedback. AISTATS (2016)
Chia-Jung Lee, Chao-Kai Chiang, Mu-En Wu
Resisting Dynamic Strategies in Gradually Evolving Worlds. RVSP (2015)
Ku-Chun Chou, Hsuan-Tien Lin, Chao-Kai Chiang, Chi-Jen Lu
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions. ACML (2014)
Chao-Kai Chiang, Chia-Jung Lee, 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)