Tobias Sutter
Research Interests
- Machine learning: reinforcement learning, data-driven decision making, distributional shift adaptation
- Stochastic programming: distributionally robust optimization
- Control theory: stochastic control, approximate dynamic programming
Teaching
- Winter Term 2024/2025: Optimization for Data Science
- Summer Term 2024: Introduction to Machine Learning
- Winter Term 2023/2024: Datenmathematik
- Summer Term 2023: Introduction to Machine Learning
- Winter Term 2022/2023: Optimization for Data Science
- Summer Term 2022: Introduction to Machine Learning
- Winter Term 2021/2022: Optimization for Data Science
Seminar: Machine Learning and Optimization
- Winter Term 2024/2025: Elements of Causal Inference
- Summer Term 2024: Introduction to Online Nonstochastic Control
- Summer Term 2023: Introduction to Online Convex Optimization
- Winter Term 2022/2023: An Introduction to Reinforcement Learning
- Summer Term 2022: Fairness and Machine Learning - Limitations and Opportunities