CS861: Theoretical Foundations of Machine Learning Lecture 5 – 09/15/2023 University of Wisconsin–Madison, Fall 2023 Lecture 05: Growth Function and VC Dimension Lecturer: Kirthevasan Kandasamy Scribed by: Chenghui Zheng, Yixuan Zhang Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only with […]

CS861: Theoretical Foundations of Machine Learning Lecture 6 – 09/18/2023 University of Wisconsin–Madison, Fall 2023 Lecture 06: PAC bound in a finite VC class, Proof of Sauer’s lemma Lecturer: Kirthevasan Kandasamy Scribed by: Justin Kiefel, Joseph Salzer Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be

CS861: Theoretical Foundations of Machine Learning Lecture 10 – 27/09/2023 University of Wisconsin–Madison, Fall 2023 Lecture 10: Le Cam’s Method (Some Examples) Lecturer: Kirthevasan Kandasamy Scribed by: Ying Fu, Deep Patel Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only with

CS861: Theoretical Foundations of Machine Learning Lecture 11 – 29/09/2023 University of Wisconsin–Madison, Fall 2023 Lecture 11: Review of Information Theory Lecturer: Kirthevasan Kandasamy Scribed by: Deep Patel, Keran Chen Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only with the