Prof. Dr. Semih Cayci

Research Interests

Mathematical Foundations of Machine Learning, Deep Learning Theory, Reinforcement Learning, Applied Probability, Continuous Optimization

Curriculum Vitae

Since 2022: Tenure-Track Assistant Professor for Mathematics of Machine Learning, RWTH Aachen University

2020-2022: NSF TRIPODS Postdoctoral Research Fellow, University of Illinois at Urbana-Champaign

2014-2020: Doctor of Philosophy, Department of Electrical and Computer Engineering, the Ohio State University

Teaching

11.46100 Stochastic Analysis - Winter 2024/25

11.80020 Mathematical Foundations of Deep Learning - Winter 2023/24

11.50002 Seminar: Mathematical Learning - Summer 2023

11.70010 Mathematical Foundations of Reinforcement Learning - Winter 2022/23

News and Announcements

11.04.2024 - Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation got accepted to SIAM Journal on Optimization.

20.03.2024 - Finite-Time Analysis of Natural Actor-Critic for POMDPs got accepted to SIAM Journal on Mathematics of Data Science.

18.03.2024 - Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithms got accepted to the Transactions on Machine Learning Research.

19.02.2024 - New preprint Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis is now on arXiv.

Contact Options and Office Hours

Office: Room 202, Pontdriesch 14

Phone: +49 241 80-97828

E-mail: cayci@mathc.rwth-aachen.de

Office Hours:
by arrangement

RWTH Aachen University

Chair of Mathematics of Information Processing

Attn: Prof. Dr. Semih Cayci

Pontdriesch 14

52062 Aachen

Germany