Kwang-Sung Jun

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Xiaojin ZhuProfessor in Computer Science at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Robert D NowakNosbusch Professor in Engineering and Wisconsin Institute for Discovery, UW-MadisonVerified email at wisc.edu
Francesco OrabonaAssociate Professor, Boston UniversityVerified email at orabona.com
Rebecca WillettUniversity of Chicago, Professor of Statistics and Computer ScienceVerified email at uchicago.edu
Jun-Ming XuGoogleVerified email at wisc.edu
Amy BellmoreProfessor of Human Development, University of Wisconsin-MadisonVerified email at wisc.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonVerified email at wisc.edu
Lihong Li (李力鸿)AmazonVerified email at amazon.com
Yuzhe MaMicrosoftVerified email at microsoft.com
Bryan R. GibsonUniversity of Wisconsin-MadisonVerified email at cs.wisc.edu
Aniruddha BhargavaApplied ScientistVerified email at wisc.edu
Kevin JamiesonAssistant Professor, University of WashingtonVerified email at cs.washington.edu
Lalit JainUniversity of WashingtonVerified email at uw.edu
Blake J MasonPostdoctoral ResearcherVerified email at rice.edu
Barton MillerVilas Distinguished Achievement Professor, University of Wisconsin-MadisonVerified email at cs.wisc.edu
Xiaozhu MengRice UniversityVerified email at rice.edu
charles kalishEmeritus Professor of Educational Psychology, university of Wisconsin MadisonVerified email at wisc.edu
Houssam NassifAmazonVerified email at amazon.com
Jeffrey C. ZemlaSyracuse UniversityVerified email at syr.edu

Kwang-Sung Jun

The University of Arizona

Verified email at cs.arizona.edu - Homepage

Machine Learning Multi-armed bandit online learning active learning


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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	400	2012
Adversarial attacks on stochastic bandits KS Jun, L Li, Y Ma, J Zhu Advances in Neural Information Processing Systems (NeurIPS), 3640-3649, 2018	94	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	74	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	61	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	52	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	47	2017
Identifying multiple authors in a binary program X Meng, BP Miller, KS Jun European Symposium on Research in Computer Security, 286-304, 2017	38	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	34	2010
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	28	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	22	2016
Parameter-free Online Convex Optimization with Sub-Exponential Noise KS Jun, F Orabona Conference on Learning Theory (COLT), 1802-1823, 2019	21	2019
Graph-Based Active Learning: A New Look at Expected Error Minimization KS Jun, R Nowak IEEE GlobalSIP, 2016	15	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	14	2015
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	13	2017
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	13	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	11*	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	11	2019
Learning from human-generated lists KS Jun, X Zhu, B Settles, TT Rogers Proceedings of the International Conference on Machine Learning (ICML), 2013	6	2013
Crush optimism with pessimism: Structured bandits beyond asymptotic optimality KS Jun, C Zhang Advances in Neural Information Processing Systems 33, 6366-6376, 2020	5	2020
Parameter-Free Locally Differentially Private Stochastic Subgradient Descent KS Jun, F Orabona NeurIPS Workshop on Privacy in Machine Learning (PriML), 2019	3	2019

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