Official Publications
Sparse Linear Bandits with Fixed Sparsity Support: Adversarial and Stochastic Regimes
Kyoungseok Jang, Nam Tran, Nicolò Cesa-Bianchi
In The Conference on Artificial Intelligence and Statistics (AISTATS), accepted, 2026
GL-LowPopArt: A Nearly Instance-Wise Minimax Estimator for (Adaptive) Generalized Linear Low-Rank Trace Regression
Junghyun Lee, Kyoungseok Jang, Kwang-Sung Jun, Milan Vojnovic, Se-Young Yun
In The Conference on Artificial Intelligence and Statistics (AISTATS), accepted, 2026 link
Rate-optimal Design for Anytime Best Arm Identification
Junpei Komiyama, Kyoungseok Jang, Honda Junya
In The Conference on Artificial Intelligence and Statistics (AISTATS), accepted, 2026 link
Online Linear Regression with Paid Stochastic Features
Nadav Merlis, Kyoungseok Jang, Nicolò Cesa-Bianchi
In The Association for the Advancement of Artificial Intelligence (AAAI), accepted, 2026 link
Fixed Confidence Best Arm Identification in the Bayesian Setting
Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
In Conference on Neural Information Processing Systems (NeurIPS), accepted, 2024 link
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
In Conference on Neural Information Processing Systems (NeurIPS), accepted, 2024 link
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
Stability and Generalization for Bellman Residuals
Enoch H Kang, Kyoungseok Jang
Globally Convergent Offline Reinforcement Learning\ with Bellman Residual Minimization
Byungjun Park, Minhyeok Park, Enoch H Kang, Kyoungseok Jang
Workshop paper
Fixed Confidence Best Arm Identification in the Bayesian Setting
Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
In the second RL theory workshop (co-located with COLT 2024), poster presentation, 2024
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