Chao-Kai Chiang

Federated Multi-Task Learning

Ameet Talwalkar, Virginia Smith, Maziar Sanjabi, 2017, NIPS.

25th Annual Conference on Learning Theory Online Optimization with Gradual Variations

Rong Jin, Tianbao Yang, Shenghuo Zhu, 2022 .

An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits

Peter Auer, Chao-Kai Chiang, P. Auer, 2016, COLT.

Hyper-parameter Tuning under a Budget Constraint pdf

Fei Sha, Chao-Kai Chiang, Zhiyun Lu, 2019, IJCAI.

Pareto Front Identification from Stochastic Bandit Feedback

Peter Auer, Ronald Ortner, Madalina M. Drugan, 2016, AISTATS.

Asian Conference on Machine Learning

Chao-Kai Chiang, Chao-Kai Chiang, 2014 .

Resisting Dynamic Strategies in Gradually Evolving Worlds

Mu-En Wu, Chia-Jung Lee, Chao-Kai Chiang, 2015, 2015 Third International Conference on Robot, Vision and Signal Processing (RVSP).

Online learning with queries

Chi-Jen Lu, Chao-Kai Chiang, Chao-Kai Chiang, 2010, SODA '10.

Online Learning Problems against Dynamic Strategies in Gradually Evolving Worlds

Mu-En Wu, Chia-Jung Lee, Chao-Kai Chiang, 2017, J. Inf. Hiding Multim. Signal Process..

Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits

Masashi Sugiyama, Chao-Kai Chiang, J. Honda, 2023, ICML.