관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
Block Optimism for Nonstationary Bandits with Latent Linear Dynamics
Taehyun Hwang, Hyunjun Choi, Heesang Ann, Min-hwan Oh
SNU오민환
Follow-the-Perturbed-Leader for Decoupled Bandits: Best-of-Both-Worlds and Practicality
Chaiwon Kim, Jongyeong Lee, Min-hwan Oh
SNU오민환
Generalized Linear Bandits with Memory
Heesang Ann, Hyunjun Choi, Taehyun Hwang, Younghoon Shin, Haeju Cheong, Min-hwan Oh
SNU오민환
Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates
Sanghoon Yu, Min-hwan Oh
SNU오민환
Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning
Harin Lee, Min-hwan Oh
SNU오민환
Achieving Adaptivity and Optimality for Multi-armed Bandits using Exponential-Kullback Leibler Maillard Sampling
Hao Qin, Kwang-Sung Jun, Chicheng Zhang
POSTECH전광성
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
Kapilan Balagopalan, Yinan Li, Yao Zhao, Tuan Ngo Nguyen, Anton Daitche, Houssam Nassif, Kwang-Sung Jun
POSTECH전광성
Looking Through the Mirror: Minimax-Optimal Regularized Regrets in Online Learning and Bandits
Junghyun Lee, Yujun Kim, Chulhee Yun, Se-Young Yun
KAIST윤세영
Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
POSTECH김동우, 옥정슬, 박상돈, 박은혁
Online Conformal Abstention Under Adversarial Bandit Feedback
Minjae Lee*, Yoonjae Jung*, Sangdon Park
POSTECH김동우, 옥정슬, 박상돈, 박은혁
Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization
Junyoung Yang*, Kyungmin Kim*, Sangdon Park
POSTECH김동우, 옥정슬, 박상돈, 박은혁
A Regret Minimization Framework on Preference Learning in Large Language Models
Suhwan Kim*, Taehyun Cho*, Geon-Hyeong Kim, Yu Jin Kim, Youngsoo Jang, Moontae Lee, Jungwoo Lee
SNU이정우
Fairness of Exposure in Stochastic Multiple-play Multi-armed Bandits
Youngmi Jin, Dongdeok Kim, Young-Joo Suh
POSTECH서영주
Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-hwan Oh
SNU오민환