Teaching
Selected materials from my courses and tutorials in machine learning, optimization, control, and AI safety and alignment.
Current and upcoming offerings
See the department’s course schedule and planned offerings for 2026–27.
Previous courses
- Theoretical Machine Learning (COS 511) — Spring 2026. Statistical and online learning, optimization, and learning and control in dynamical systems.
- AI Safety & Alignment (COS 597Q) — Fall 2023. Advanced seminar on AI risks, alignment methods, interpretability, and game-theoretic approaches.
- Introduction to Machine Learning (COS 324) — Spring 2021. Introduction to machine learning principles and algorithms.
- Computational Control Theory (COS 597D) — 2020–21 materials. Control and reinforcement learning, emphasizing efficient algorithms, nonstochastic control, and regret minimization.
Tutorials
- New Techniques for Sequence Prediction: Spectral Filtering and Preconditioning — ICML 2026.
- Introduction to Nonstochastic Online Control — CDC 2025.
- Online Nonstochastic Control — ICML 2020.
See also my books and surveys.