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Kwang-Sung Jun

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20102024

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  • 2022

    An Experimental Design Approach for Regret Minimization in Logistic Bandits

    Mason, B., Jun, K. S. & Jain, L., Jun 30 2022, AAAI-22 Technical Tracks 7. Association for the Advancement of Artificial Intelligence, p. 7736-7743 8 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    9 Scopus citations

  • Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs

    Kim, Y., Yang, I. & Jun, K. S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    12 Scopus citations

  • PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits

    Jang, K., Zhang, C. & Jun, K. S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    9 Scopus citations
  • 2021

    Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits

    Jun, K. S., Jain, L., Mason, B. & Nassif, H., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 5148-5157 10 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    15 Scopus citations

  • Improved Regret Bounds of Bilinear Bandits using Action Space Analysis

    Jang, K., Jun, K. S., Yun, S. Y. & Kang, W., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4744-4754 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    7 Scopus citations

  • Transfer Learning in Bandits with Latent Continuity

    Park, H., Shin, S., Jun, K. S. & Ok, J., Jul 12 2021, 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1463-1468 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2021-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    1 Scopus citations
  • 2018

    Data poisoning attacks in contextual bandits

    Ma, Y., Jun, K. S., Li, L. & Zhu, X., 2018, Decision and Game Theory for Security - 9th International Conference, GameSec 2018, Proceedings. Bushnell, L., Poovendran, R. & Basar, T. (eds.). Springer-Verlag, p. 186-204 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11199 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    45 Scopus citations
  • 2017

    Graph-based active learning: A new look at expected error minimization

    Jun, K. S. & Nowak, R., Apr 19 2017, 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1325-1329 5 p. 7906056. (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    10 Scopus citations

  • Identifying multiple authors in a binary program

    Meng, X., Miller, B. P. & Jun, K. S., 2017, Computer Security – ESORICS 2017 - 22nd European Symposium on Research in Computer Security, Proceedings. Foley, S. N., Gollmann, D. & Snekkenes, E. (eds.). Springer-Verlag, p. 286-304 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10493 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    31 Scopus citations
  • 2016

    Anytime exploration for multi-armed bandits using confidence information

    Jun, K. S. & Nowak, R., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 1530-1544 15 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    5 Scopus citations

  • U-INVITE: Estimating Individual Semantic Networks from Fluency Data

    Zemla, J. C., Kenett, Y. N., Jun, K. S. & Austerweil, J. L., 2016, Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. Papafragou, A., Grodner, D., Mirman, D. & Trueswell, J. C. (eds.). The Cognitive Science Society, p. 1907-1912 6 p. (Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    13 Scopus citations
  • 2012

    Learning from bullying traces in social media

    Xu, J. M., Jun, K. S., Zhu, X. & Bellmore, A., 2012, Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics (ACL), p. 656-666 11 p. (NAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    302 Scopus citations
  • 2010

    Cognitive models of test-item effects in human category learning

    Zhu, X., Gibson, B. R., Jun, K. S., Rogers, T. T., Harrison, J. & Kalish, C., 2010, ICML 2010 - Proceedings, 27th International Conference on Machine Learning. p. 1247-1254 8 p. (ICML 2010 - Proceedings, 27th International Conference on Machine Learning).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    23 Scopus citations