Yevgeny Seldin

Yevgeny Seldin is a Professor in the Department of Computer Science at the University of Copenhagen, specializing in Machine Learning Theory. He leads the Machine Learning Section and is a member of the DeLTA Lab.

Education:

• PhD in Computer Science at The Hebrew University of Jerusalem under supervision of Prof. Naftali Tishby

His research focuses on Machine Learning, particularly Online Learning and PAC-Bayesian Analysis, with applications to Bandit Algorithms, Reinforcement Learning, and Information Theory. Recent work includes optimal algorithms for delayed feedback, stochastic-adversarial trade-offs, and feedback graphs.

Positions Available:

• PhD and Postdoc positions in Theoretical Machine Learning or energy sector applications

Labs & Collaborations:

• Head of Machine Learning Section
• Member of DeLTA Lab