| 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 | 488 | 2012 |
| Adversarial attacks on stochastic bandits KS Jun, L Li, Y Ma, J Zhu Advances in Neural Information Processing Systems (NeurIPS), 3640-3649, 2018 | 122 | 2018 |
| 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 | 110 | 2017 |
| 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 | 75 | 2016 |
| 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 | 73 | 2018 |
| 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 | 67 | 2017 |
| 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 | 50 | 2019 |
| Identifying multiple authors in a binary program X Meng, BP Miller, KS Jun Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017 | 49 | 2017 |
| 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 | 40 | 2010 |
| Parameter-free Online Convex Optimization with Sub-Exponential Noise KS Jun, F Orabona Conference on Learning Theory (COLT), 1802-1823, 2019 | 35 | 2019 |
| 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 | 23 | 2016 |
| 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 | 22 | 2016 |
| 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 | 20 | 2019 |
| 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 | 19 | 2017 |
| 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 | 17 | 2022 |
| Graph-Based Active Learning: A New Look at Expected Error Minimization KS Jun, R Nowak IEEE GlobalSIP, 2016 | 17 | 2016 |
| 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 | 15 | 2015 |
| Tight concentrations and confidence sequences from the regret of universal portfolio F Orabona, KS Jun IEEE Transactions on Information Theory, 2023 | 14 | 2023 |
| Crush optimism with pessimism: Structured bandits beyond asymptotic optimality KS Jun, C Zhang Advances in Neural Information Processing Systems 33, 6366-6376, 2020 | 14 | 2020 |
Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-Madisoncs.wisc.edu의 이메일 확인됨
