Prof. Dr. Semih Cayci
Forschungsinteressen
Mathematische Grundlagen des Maschinellen Lernens, Deep Learning Theorie, Reinforcement Learning, Angewandte Wahrscheinlichkeit, Optimierung Theorie
Lebenslauf
Seit 2022: Tenure-Track Juniorprofessor für Mathematik des Maschinellen Lernens, RWTH Aachen University2020-2022: NSF TRIPODS Postdoctoral Research Fellow, University of Illinois at Urbana-Champaign2014-2020: Doctor of Philosophy, Department of Electrical and Computer Engineering, the Ohio State UniversityTeaching
Mathematical Foundations of Machine Learning - Winter 2025/26Mathematical Foundations of Deep Learning - Summer 2026, Winter 2023/24Mathematical Foundations of Reinforcement Learning - Winter 2022/23, Summer 2024/25Stochastic Analysis - Winter 2024/25 Seminar: Mathematical Learning - Summer 2023News
09.06.2026 - I have received an NVIDIA Academic Research Grant for the project 'GPU-Accelerated Benchmarking of Learning-Based Routing under Heavy Tails'.30.04.2026 - Geometric Convergence of Gauss–Newton for Neural Networks: Riemannian Geometry and Adaptive Damping was accepted to ICML 2026.30.04.2026 - I will give a tutorial on policy gradient methods at Reinforcement Learning Summer School in Milano on June 5th, 2026.11.03.2026 - I will give a talk about RL for POMDPs at ECC Workshop on Learning in Dynamic Games under Partial Information.22.01.2026 - Two papers got accepted to AISTATS 2026: Non-Asymptotic Generalization and Optimization Bounds for Stochastic Gauss-Newton in Deep Neural Networks [Paper] and Finite-Time Analysis of Gradient Descent for Shallow Transformers [Paper].29.11.2025 - Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes was accepted to Information and Inference: A Journal of the IMA. [Paper]09.10.2025 - Recurrent Natural Policy Gradient for POMDPs was published in Transactions on Machine Learning Research. [Paper][Slides]26.07.2025 - Budgeted-Bandits with Controlled Restarts with Applications in Learning and Computing was published in Transactions on Machine Learning Research. [Paper]23.06.2025 - Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis was published in SIAM Journal on Math of Data Science. [Paper]15.05.2025 - Fisher–Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients was published in SIAM Journal on Optimization. [Paper]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 Analysis und ihre Anwendungen
z.H. Prof. Dr. Semih Cayci
Pontdriesch 14
52062 Aachen
