Official Publications
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Kyoungseok Jang, Kwang-sung Jun, Chicheng Zhang
In International Conference on Machine Learning (ICML), accepted, 2024 link
Better-than-KL PAC-Bayes bounds
Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona
In Conference on Learning Theory (COLT), accepted, 2024 link
Tighter PAC-Bayes bound through Coin-Betting
Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona
In Conference on Learning Theory (COLT), accepted, 2023 link
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
In Conference on Neural Information Processing Systems (NeurIPS), accepted, 2022 link
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis.
Kyoungseok Jang, Kwang-Sung Jun, Se Young Yun, Wanmo Kang.
In International Conference on Machine Learning (ICML), accepted, 2021 link
Preprints
Fixed Confidence Best Arm Identification in the Bayesian Setting
Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
Under Review link
Workshop paper
Improved Time-Uniform PAC-Bayes Bounds using Coin Betting
Kyoungseok Jang, Kwang-sung Jun, Ilja Kuzborskij, Francesco Orabona
In International Conference on Machine Learning (ICML) Workshop “PAC-Bayes meets Interactive Learning”, Contributed talk, 2023