Tighter PAC-Bayes bounds through coin-betting K Jang, KS Jun, I Kuzborskij, F Orabona The Thirty Sixth Annual Conference on Learning Theory, 2240-2264, 2023 | 27 | 2023 |
Popart: Efficient sparse regression and experimental design for optimal sparse linear bandits K Jang, C Zhang, KS Jun Advances in Neural Information Processing Systems 35, 2102-2114, 2022 | 10 | 2022 |
Improved regret bounds of bilinear bandits using action space analysis K Jang, KS Jun, SY Yun, W Kang International Conference on Machine Learning, 4744-4754, 2021 | 8 | 2021 |
Better-than-KL PAC-Bayes Bounds I Kuzborskij, KS Jun, Y Wu, K Jang, F Orabona arXiv preprint arXiv:2402.09201, 2024 | 2 | 2024 |
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits K Jang, C Zhang, KS Jun arXiv preprint arXiv:2402.11156, 2024 | 1 | 2024 |
Fixed Confidence Best Arm Identification in the Bayesian Setting K Jang, J Komiyama, K Yamazaki arXiv preprint arXiv:2402.10429, 2024 | | 2024 |