Department of Statistics and Data Science, University of Seoul
Optim.Lab. at the Department of Statistics and Data Science, University of Seoul, studies the fundamental principles of machine learning and develops optimization methodologies for learning models.
Our research aims to understand how learning algorithms operate, analyze their theoretical properties, and design effective optimization strategies for model training and generalization.
We primarily work with:
- 🌐 Network data
- 🏆 Ranking data
- 📈 Stock market and financial time-series data
Based on these domains, we develop:
- Predictive models
- Generative models
You can explore our research publications via Google Scholar:
