Kyungbok Lee

Kyungbok Lee

Postdoctoral Reseacher

Talks

Invited Talks

  1. Lee, K., Paik, M.C., Oh, M.-h., Kim, and G.-S., Kim. (2024). “Mixed-Effects Contextual Bandits.” INFORMS Annual Meeting 2024, Seattle, WA.
  2. Lee, K., Paik, M.C., Oh, M.-h., Kim, and G.-S., Kim. (2024). “Contextual Bandit Algorithm with Multiple Stochastically Correlated Outcomes.” The 2024 International Chinese Statistical Association (ICSA) Applied Statistics Symposium, Nashville, TN.
  3. Kim, W., Lee, K., and Paik, M.C. (2022). “Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits.” Kakao Enterprise Tech Talk, Seongnam, Republic of Korea.

Contributed Talks

  1. Kim, W., Lee, K., and Paik, M.C. (2023). “Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits.” AI Graduate School Symposium 2023, Seoul, Republic of Korea.
  2. Lee, K., Paik, M.C., Oh, M.-h., Kim, and G.-S. (2022). “Mixed-Effects Contextual Bandits.” Winter Korea Statistical Conference 2022, Jeju, Republic of Korea.
  3. Kim, W., Lee, K., and Paik, M.C. (2021). “Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits.” Fall Artificial Intelligence Institute Retreat 2021, Seoul, Republic of Korea.