Prof. Dr. Semih Cayci

Forschungsinteressen

Mathematische Grundlagen des Maschinellen Lernens, Deep Learning Theorie, Reinforcement Learning, Angewandte Wahrscheinlichkeit, kontinuierliche Optimierung

Lebenslauf

Seit 2022: Tenure-Track Juniorprofessor für Mathematik des Maschinellen Lernens, 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.

Kontaktmöglichkeiten und Sprechzeiten

Büro: Raum 202, Pontdriesch 14

Telefon: +49 241 80-97828

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

Sprechstunden:
nach Vereinbarung

RWTH Aachen University

Lehrstuhl für Mathematik der Informationsverarbeitung

z.H. Prof. Dr. Semih Cayci

Pontdriesch 14

52062 Aachen