Підписатись
Kwang-Sung Jun
Kwang-Sung Jun
Підтверджена електронна адреса в cs.arizona.edu - Домашня сторінка
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Посилання
Посилання
Рік
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
5412012
Adversarial attacks on stochastic bandits
KS Jun, L Li, Y Ma, J Zhu
Advances in Neural Information Processing Systems (NeurIPS), 3640-3649, 2018
1532018
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
1392017
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
962016
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
872018
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
832017
Tight concentrations and confidence sequences from the regret of universal portfolio
F Orabona, KS Jun
IEEE Transactions on Information Theory 70 (1), 436-455, 2023
802023
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
762019
Parameter-free Online Convex Optimization with Sub-Exponential Noise
KS Jun, F Orabona
Conference on Learning Theory (COLT), 1802-1823, 2019
622019
Identifying multiple authors in a binary program
X Meng, BP Miller, KS Jun
European Symposium on Research in Computer Security, 286-304, 2017
602017
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
34*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
312023
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
292022
Graph-Based Active Learning: A New Look at Expected Error Minimization
KS Jun, R Nowak
IEEE GlobalSIP, 2016
242016
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
242016
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
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
212017
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
202022
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
192019
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