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2020 – today
- 2024
[c5]Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang, Francesco Orabona:
Better-than-KL PAC-Bayes Bounds. COLT 2024: 3325-3352- [c4]Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. ICML 2024 - [i6]Ilja Kuzborskij, Kwang-Sung Jun, Yulian Wu, Kyoungseok Jang
, Francesco Orabona:
Better-than-KL PAC-Bayes Bounds. CoRR abs/2402.09201 (2024) - [i5]Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki:
Fixed Confidence Best Arm Identification in the Bayesian Setting. CoRR abs/2402.10429 (2024) - [i4]Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits. CoRR abs/2402.11156 (2024) - [i3]Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi:
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. CoRR abs/2406.01192 (2024) - 2023
- [c3]Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona:
Tighter PAC-Bayes Bounds Through Coin-Betting. COLT 2023: 2240-2264 - [i2]Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona:
Tighter PAC-Bayes Bounds Through Coin-Betting. CoRR abs/2302.05829 (2023) - 2022
- [c2]Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. NeurIPS 2022 - [i1]Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun:
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits. CoRR abs/2210.15345 (2022) - 2021
- [c1]Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang:
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. ICML 2021: 4744-4754
Coauthor Index
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