Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. - Kyoungseok Jang; Kwang-Sung Jun; Se-Young Yun; Wanmo Kang (ICML, 2021)

PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. - Kyoungseok Jang; Chicheng Zhang; Kwang-Sung Jun (NeurIPS, 2022)

Tighter PAC-Bayes Bounds Through Coin-Betting. - Kyoungseok Jang; Kwang-Sung Jun; Ilja Kuzborskij; Francesco Orabona (COLT, 2023)

Better-than-KL PAC-Bayes Bounds. - Ilja Kuzborskij; Kwang-Sung Jun; Yulian Wu; Kyoungseok Jang; Francesco Orabona (COLT, 2024)

Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. - Kyoungseok Jang; Chicheng Zhang; Kwang-Sung Jun (ICML, 2024)

Fixed Confidence Best Arm Identification in the Bayesian Setting. - Kyoungseok Jang; Junpei Komiyama; Kazutoshi Yamazaki (NeurIPS, 2024)

Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. - Tianyuan Jin; Kyoungseok Jang; Nicolò Cesa-Bianchi (NeurIPS, 2024)

GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression. - Junghyun Lee; Kyoungseok Jang; Kwang-Sung Jun; Milan Vojnovic; Se-Young Yun (CoRR, 2025)