Chao-Kai Chiang
(Former)
1 - 6 out of 6Page size: 10
Research output
- 2016
- Published
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits
Auer, P. & Chiang, C-K., 23 Jun 2016, Proceedings of the 29th Conference on Learning Theory, COLT 2016. p. 116-120 (JMLR Workshop and Conference Proceedings; vol. 49).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Pareto Front Identification from Stochastic Bandit Feedback
Auer, P., Chiang, C-K., Ortner, R. & Drugan, M., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 939-947 (JMLR Workshop and Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2014
- Published
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions
Chiang, C-K., 2014, Asian Conference on Machine Learning. p. 0-0Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2013
- Published
Beating Bandits in Gradually Evolving Worlds
Chiang, C-K., 2013, Conference on Learning Theory. Shalev-Shwartz, S. & Steinwart, I. (eds.). p. 210-227 (JMLR Workshop and Conference Proceedings; vol. 30).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2012
- Published
Online Optimization with Gradual Variations
Chiang, C-K., 2012, COLT 2012: Proceedings of the 25th Annual Conference on Learning Theory June 25-27, 2012, Edinburgh, Scotland. Mannor, S., Srebro, N. & Willamson, R. C. (eds.). p. 6.1-6.20 (JMLR Workshop and Conference Proceedings; vol. 23).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2010
- Published
Online Learning with Queries
Chiang, C-K., 2010, Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms. p. 616-629Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
