Human behavior in many situations involving uncertainty and risk depends on the acquisition of information concerning event probabilities. A family of statistical models, growing out of general ...

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 ...

Proceedings of the National Academy of Sciences of the United States of America, Vol. 116, No. 32 (August 6, 2019), pp. 15849-15854 (6 pages) Breakthroughs in machine learning are rapidly changing ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...