Oğuz Kaan Yüksel

I am a fourth-year Ph.D candidate at the Theory of Machine Learning Lab, EPFL, advised by Nicolas Flammarion. I focus on understanding AI from first principles, using mathematical modeling and rigorous theory to explain how and why modern learning systems work. My work spans generalization, optimization, and the structure of data, with a particular interest in language models and autoregressive processes.

Research · CV

Background. M.Sc. in Data Science (minor in Mathematics) and Ph.D. at EPFL. B.Sc. in Computer Engineering & Mathematics at Boğaziçi University.

Selected Publications

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