teaching

Recognising, formulating, and solving convex optimization problems using specialised software.

Independent project accompanying the convex optimization course.

Advanced course on modern probabilistic and Bayesian approaches to machine learning.

Introductory course on supervised learning — classification and regression with real data — and its computational and statistical foundations.

Seminar-style PhD course covering foundational topics at the intersection of learning and control theory.

Algorithms for solving large-scale, continuous, optimization problems — from fundamentals to advanced techniques.

Independent project accompanying the large-scale optimization course.