Domain Adaptation and Entanglement: an Optimal Transport Perspective

Authors: Koç, Okan, Soen, Alexander, Chiang, Chao-Kai, Sugiyama, Masashi

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2503.08155

Unified Risk Analysis for Weakly Supervised Learning

Authors: Chiang, Chao-Kai, Sugiyama, Masashi

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2309.08216

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models

Authors: Lee, Jongyeong, Chiang, Chao-Kai, Sugiyama, Masashi

Subject Terms: Computer Science - Machine Learning, Mathematics - Statistics Theory, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2302.14407

Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits

Authors: Lee, Jongyeong, Honda, Junya, Chiang, Chao-Kai, Sugiyama, Masashi

Subject Terms: Computer Science - Machine Learning, Mathematics - Statistics Theory, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2302.01544

Hyper-parameter Tuning under a Budget Constraint

Authors: Lu, Zhiyun, Chiang, Chao-Kai, Sha, Fei

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1902.00532

Federated Multi-Task Learning

Authors: Smith, Virginia, Chiang, Chao-Kai, Sanjabi, Maziar, Talwalkar, Ameet

Subject Terms: Computer Science - Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1705.10467

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

Authors: Auer, Peter, Chiang, Chao-Kai

Subject Terms: Computer Science - Learning

Access URL: http://arxiv.org/abs/1605.08722

Resisting Dynamic Strategies in Gradually Evolving Worlds.

Authors: Lee, Chia-Jung, Chiang, Chao-Kai, Wu, Mu-En

Source: 2015 Third International Conference on Robot, Vision & Signal Processing (RVSP); 1/1/2015, p191-194, 4p

Online learning with queries.

Authors: Chiang, Chao-Kai, Lu, Chi-Jen

Source: Proceedings of the Twenty-First Annual ACM-SIAM Symposium: Discrete Algorithms; 1/17/2010, p616-629, 14p