This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex data and making informed predictions. Students will delve into both asymptotic ...

Mikhail Belkin, Daniel Hsu, Siyuan Ma, Soumik Mandal, Reconciling modern machine-learning practice and the classical bias–variance trade-off, Proceedings of the National Academy of Sciences of the ...

APPM 4490/5490 Theory of Machine Learning APPM 4490/5490 Theory of Machine Learning Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers ...