Our research interest is focused on Artificial Intelligence (AI) and its applications to industrial and scientific problems. Specifically, we pursue principled approaches to incomplete data problems in machine learning via the view of statistics and mathematics. These topics are profoundly related to statistical learning, meta learning, and causal reasoning. Currently, we are working with the following research topics:
- Causal Learning
- Stochastic Optimization
- Planning / Reinforcement Learning
- Automated Machine Learning

Learning Intelligent Machine Lab 에서는 수학과 통계학적 원리를 바탕으로 인공지능 연구를 진행하고 있으며, 주로 아래 분야의 주제에 집중하고 있습니다.
- 인과학습(Causal Learning)
- 확률적최적화(Stochastic Optimization)
- 플래닝/강화학습(Planning / Reinforcement Learning)
- 자동화된 기계학습(Automated Machine Learning)