Research

2024

• Off-policy estimation with adaptively collected data: the power of online learning
  Jeonghwan Lee and Cong Ma
  

  To appear at the 38th Annual Conference on Neural Information Processing Systems (NeurIPS), Dec. 2024.
  

• A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
  Doyeon Kim*, Jeonghwan Lee*, and Hye Won Chung
  

  IEEE Transactions on Information Theory, vol. 70, no. 3, pp. 2076-2117, Mar. 2024. (arXiv)
  

2022

• A Generalized Worker-Task Specialization Model for Crowdsourcing: Optimal Limits and Algorithm
  Doyeon Kim*, Jeonghwan Lee*, and Hye Won Chung
  

  The proceedings of IEEE International Symposium on Information Theory (ISIT), pp. 1483-1488, Jul. 2022.

2020

• Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
  Jeonghwan Lee, Daesung Kim, and Hye Won Chung
  

  IEEE Journal On Selected Areas in Information Theory (JSAIT), vol. 1, no. 3, pp. 613-631, Nov. 2020. (arXiv)

* denotes either the equal contribution or the alphabetical ordering.