I am a tenure-track Assistant Professor for Mathematics of Machine Learning in the Department of Mathematics at RWTH Aachen University.
My research interests lie in theoretical machine learning, optimization and probability theory, with a focus on:
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Selected Papers
- Sample Complexity and Overparameterization Bounds for TD Learning with Neural Network Approximation [paper]
Semih Cayci, Siddhartha Satpathi, Niao He, R. Srikant
IEEE Transactions on Automatic Control, May 2023. - Convergence of Entropy-Regularized Natural Policy Gradient Methods with Linear Function Approximation [paper]
Semih Cayci, Niao He, R. Srikant
ICML Workshop on Reinforcement Learning Theory 2021 - A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback [paper]
Semih Cayci, Yilin Zheng, Atilla Eryilmaz
AAAI 2022
Teaching
- MATH 11.70010 - Mathematical Foundations of Reinforcement Learning (Winter 2022/23)
Miscellaneous
- Prior to joining RWTH Aachen, I was an NSF TRIPODS Postdoctoral Fellow at the University of Illinois at Urbana-Champaign. I was affiliated with Illinois Institute of Data Science and Dynamical Systems and ODI Group at ETH Zurich.
- I received my PhD from the Ohio State University.