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Kwang-Sung Jun
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Learning from bullying traces in social media
JM Xu, KS Jun, X Zhu, A Bellmore
Proceedings of the 2012 conference of the North American chapter of the …, 2012
4882012
Adversarial attacks on stochastic bandits
KS Jun, L Li, Y Ma, J Zhu
Advances in Neural Information Processing Systems (NeurIPS), 3640-3649, 2018
1222018
Scalable Generalized Linear Bandits: Online Computation and Hashing
KS Jun, A Bhargava, R Nowak, R Willett
Advances in Neural Information Processing Systems (NIPS), 98-108, 2017
1102017
Top arm identification in multi-armed bandits with batch arm pulls
KS Jun, K Jamieson, R Nowak, X Zhu
Proceedings of the International Conference on Artificial Intelligence and …, 2016
752016
Data poisoning attacks in contextual bandits
Y Ma, KS Jun, L Li, X Zhu
International Conference on Decision and Game Theory for Security (GameSec …, 2018
732018
Improved Strongly Adaptive Online Learning using Coin Betting
KS Jun, F Orabona, R Willett, S Wright
Proceedings of the International Conference on Artificial Intelligence and …, 2017
672017
Bilinear Bandits with Low-rank Structure
KS Jun, R Willett, S Wright, R Nowak
Proceedings of the International Conference on Machine Learning (ICML), 3163 …, 2019
502019
Identifying multiple authors in a binary program
X Meng, BP Miller, KS Jun
Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017
492017
Cognitive models of test-item effects in human category learning
X Zhu, BR Gibson, KS Jun, TT Rogers, J Harrison, C Kalish
Proceedings of the International Conference on Machine Learning (ICML), 1247 …, 2010
402010
Parameter-free Online Convex Optimization with Sub-Exponential Noise
KS Jun, F Orabona
Conference on Learning Theory (COLT), 1802-1823, 2019
352019
U-INVITE: Estimating individual semantic networks from fluency data
JC Zemla, YN Kenett, KS Jun, JL Austerweil
Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci …, 2016
232016
Anytime Exploration for Multi-armed Bandits using Confidence Information
KS Jun, R Nowak
Proceedings of the International Conference on Machine Learning (ICML), 974-982, 2016
222016
Improved confidence bounds for the linear logistic model and applications to bandits
KS Jun, L Jain, B Mason, H Nassif
International Conference on Machine Learning, 5148-5157, 2021
21*2021
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
KS Jun, A Cutkosky, F Orabona
Advances in Neural Information Processing Systems (NeurIPS), 15332-15341, 2019
202019
Online learning for changing environments using coin betting
KS Jun, F Orabona, S Wright, R Willett
Electronic Journal of Statistics (EJS) 11 (2), 5282-5310, 2017
192017
Improved regret analysis for variance-adaptive linear bandits and horizon-free linear mixture mdps
Y Kim, I Yang, KS Jun
Advances in Neural Information Processing Systems 35, 1060-1072, 2022
172022
Graph-Based Active Learning: A New Look at Expected Error Minimization
KS Jun, R Nowak
IEEE GlobalSIP, 2016
172016
Human memory search as initial-visit emitting random walk
KS Jun, X Zhu, TT Rogers, Z Yang
Advances in Neural Information Processing Systems (NIPS), 1072-1080, 2015
152015
Tight concentrations and confidence sequences from the regret of universal portfolio
F Orabona, KS Jun
IEEE Transactions on Information Theory, 2023
142023
Crush optimism with pessimism: Structured bandits beyond asymptotic optimality
KS Jun, C Zhang
Advances in Neural Information Processing Systems 33, 6366-6376, 2020
142020
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