I'm a post-doc supervised by Professors Robert Nowak, Rebecca Willett, and Stephen Wright at Wisconsin Institute for Discovery. In 2015 Summer, I received my PhD under the supervision of Professor Xiaojin (Jerry) Zhu at University of Wisconsin-Madison. I obtained B.E. from School of Computing with a minor in mathematics at Soongsil University in South Korea. My research interest is statistical machine learning. I organized Non-IID Reading Group in Fall 2010.
- Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, and Stephen Wright. Improved Strongly Adaptive Online Learning using Coin Betting. AISTATS, 2017. [arxiv]
- Jeffrey Zemla, Yoed Kenett, Kwang-Sung Jun, and Joseph Austerweil. U-INVITE: Estimating Individual Semantic Networks from Fluency Data. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016.
- Kwang-Sung Jun and Robert Nowak. Anytime Exploration for Multi-armed Bandits using Confidence Information. In The International Conference on Machine Learning (ICML), 2016. [pdf]
- Kwang-Sung Jun, Kevin Jamieson, Rob Nowak, and Xiaojin Zhu. Top arm identification in multi-armed bandits with batch arm pulls. In The International Conference on Artificial Intelligence and Statistics (AISTATS), 2016. [pdf]
- Kwang-Sung Jun, Xiaojin Zhu, Timothy Rogers, Zhuoran Yang, and Ming Yuan. Human memory search as initial-visit emitting random walk. In Advances in Neural Information Processing Systems (NIPS), 2015. [pdf]
- Kayla Jacobs, Kwang-Sung Jun, Nathan Lieby, and Elena Eneva. Smarter Crisis Crowdsourcing. In ACM SIGKDD Workshop on Data Science for Social Good, 2014. [pdf]
- Kwang-Sung Jun, Xiaojin Zhu, Burr Settles, and Timothy Rogers. Learning from Human-Generated Lists. In The International Conference on Machine Learning (ICML), 2013. [pdf] [code&data] [video]
- Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, and Amy Bellmore Learning from bullying traces in social media. In North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT), 2012. [pdf]
- Bryan R Gibson, Kwang-Sung Jun, and Xiaojin Zhu. With a little help from the computer: Hybrid human-machine systems on bandit problems. In NIPS 2010 Workshop on Computational Social Science and the Wisdom of Crowds, 2010. [pdf]
- Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, and Chuck Kalish. Cognitive models of test-item effects in human category learning. In The 27th International Conference on Machine Learning (ICML), 2010. [pdf]