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Kwang-Sung Jun
Kwang-Sung Jun
The University of Arizona
Bestätigte E-Mail-Adresse bei cs.arizona.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
5422012
Adversarial attacks on stochastic bandits
KS Jun, L Li, Y Ma, J Zhu
Advances in Neural Information Processing Systems (NeurIPS), 3640-3649, 2018
1482018
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
1382017
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
952016
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
882018
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
822017
Tight concentrations and confidence sequences from the regret of universal portfolio
F Orabona, KS Jun
IEEE Transactions on Information Theory, 2023
722023
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
722019
Parameter-free Online Convex Optimization with Sub-Exponential Noise
KS Jun, F Orabona
Conference on Learning Theory (COLT), 1802-1823, 2019
582019
Identifying multiple authors in a binary program
X Meng, BP Miller, KS Jun
Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017
582017
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
422010
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
31*2021
Tighter PAC-Bayes bounds through coin-betting
K Jang, KS Jun, I Kuzborskij, F Orabona
The Thirty Sixth Annual Conference on Learning Theory, 2240-2264, 2023
282023
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
232017
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
Graph-Based Active Learning: A New Look at Expected Error Minimization
KS Jun, R Nowak
IEEE GlobalSIP, 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
232016
Jointly efficient and optimal algorithms for logistic bandits
L Faury, M Abeille, KS Jun, C Calauzènes
International Conference on Artificial Intelligence and Statistics, 546-580, 2022
222022
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
212019
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
192022
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