Gizem Yüce

Gizem Yüce is a Doctoral Assistant at the Theory of Machine Learning Laboratory (TML) within the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL). She is also a Ph.D. student in the Doctoral Program in Computer and Communication Sciences (EDIC) under the EDOC framework, actively contributing to research and academic activities at EPFL.

Her research focuses on the theoretical foundations of machine learning. Key areas include Machine Learning, Statistical Learning Theory, Optimization, and Algorithms. Her work is situated within the broader domains of Artificial Intelligence and Computational Learning Theory, emphasizing rigorous mathematical analysis of learning systems.

Gizem is affiliated with the Theory of Machine Learning Laboratory, a research group dedicated to advancing the understanding of learning algorithms, generalization, and model efficiency. The lab fosters interdisciplinary collaboration and contributes to both theoretical insights and practical applications in AI.

She has not yet published articles listed in the provided text, and no scientific awards or student advisement roles are mentioned. However, her position suggests active engagement in research dissemination and academic training.