I am a tenuretrack Assistant Professor for Mathematics of Machine Learning in the Department of Mathematics at RWTH Aachen University. Previously, I was an NSF TRIPODS Postdoctoral Fellow at the University of Illinois at UrbanaChampaign, where I was affiliated with Illinois Institute of Data Science and Dynamical Systems and ODI Group at ETH Zurich.
My research interests lie in theoretical machine learning, optimization and probability theory, with a focus on:

Selected Papers
 FiniteTime Analysis of EntropyRegularized Neural Natural ActorCritic [paper]
Semih Cayci, Niao He, R. Srikant  Sample Complexity and Overparameterization Bounds for TD Learning with Neural Network Approximation [paper]
Semih Cayci, Siddhartha Satpathi, Niao He, R. Srikant
ICML Workshop on Overparameterization 2021  Convergence of EntropyRegularized Natural Policy Gradient Methods with Linear Function Approximation [paper]
Semih Cayci, Niao He, R. Srikant
ICML Workshop on Reinforcement Learning Theory 2021  A LyapunovBased Methodology for Constrained Optimization with Bandit Feedback
Semih Cayci, Yilin Zheng, Atilla Eryilmaz
AAAI 2022
[paper]  GroupFair Online Allocation in Continuous Time
Semih Cayci, Swati Gupta, Atilla Eryilmaz
NeurIPS 2020
[paper]  BudgetConstrained Bandits over General Cost and Reward Distributions
Semih Cayci, Atilla Eryilmaz, R. Srikant
AISTATS 2020
[paper]  Learning to Control Renewal Processes with Bandit Feedback
Semih Cayci, Atilla Eryilmaz, R. Srikant
ACM SIGMETRICS 2019
[paper]