CS861: Theoretical Foundations of Machine Learning Lecture 14 10 06 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 14 – 10/06/2023 University of Wisconsin–Madison, Fall 2023 Lecture 14: Nonparametric Regression and Density Estimation Lecturer: Kirthevasan Kandasamy Scribed by: Haoran Xiong, Zhihao Zhao Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only with …

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CS861: Theoretical Foundations of Machine Learning Lecture 19 18 10 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 19 – 18/10/2023 University of Wisconsin–Madison, Fall 2023 Lecture 19: K–armed bandit lower bounds, generalized linear bandits Lecturer: Kirthevasan Kandasamy Scribed by: Alex Clinton, Yamin Zhou Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class …

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CS861: Theoretical Foundations of Machine Learning Lecture 7 09 20 2023 Univer

CS861: Theoretical Foundations of Machine Learning Lecture 7 – 09/20/2023 University of Wisconsin–Madison, Fall 2023 Lecture 07: Lower Bounds for Point Estimation Lecturer: Kirthevasan Kandasamy Scribed by: Joseph Salzer, Tony Chang Wang Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only …

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CS861: Theoretical Foundations of Machine Learning Lecture 9 25 09 2023 Univer

CS861: Theoretical Foundations of Machine Learning Lecture 9 – 25/09/2023 University of Wisconsin–Madison, Fall 2023 Lecture 09: Hypothesis testing and Le Cam’s method Lecturer: Kirthevasan Kandasamy Scribed by: Haoyue Bai, Ying Fu Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only …

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CS861: Theoretical Foundations of Machine Learning Lecture 17 10 13 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 17 – 10/13/2023 University of Wisconsin–Madison, Fall 2023 Lecture 17: K-armed bandits, the UCB algorithm Lecturer: Kirthevasan Kandasamy Scribed by: Ransheng Guan, Yamin Zhou Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class only with …

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CS861: Theoretical Foundations of Machine Learning Lecture 8 09 22 2023 Univer

CS861: Theoretical Foundations of Machine Learning Lecture 8 – 09/22/2023 University of Wisconsin–Madison, Fall 2023 Lecture 08: Introduction to Minimax Optimality Lecturer: Kirthevasan Kandasamy Scribed by: Xindi Lin, Zhihao Zhao 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 …

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CS861: Theoretical Foundations of Machine Learning Lecture 27 06 11 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 27 – 06/11/2023 University of Wisconsin–Madison, Fall 2023 Lectures 27, 28: Online Gradient Descent, Contextual Bandits Lecturer: Kirthevasan Kandasamy Scribed by: Haoyue Bai & Deep Patel Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside this class …

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CS861: Theoretical Foundations of Machine Learning Lecture 1 11 01 2023 Univer

CS861: Theoretical Foundations of Machine Learning Lecture 1 – 11/01/2023 University of Wisconsin–Madison, Fall 2023 Lecture 25: Online Convex Optimization Lecturer: Kirthevasan Kandasamy Scribed by: Xindi Lin, Tony Chang Wang 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 …

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CS861: Theoretical Foundations of Machine Learning Lecture 3 09 11 2023 Univer

CS861: Theoretical Foundations of Machine Learning Lecture 3 – 09/11/2023 University of Wisconsin–Madison, Fall 2023 Lecture 03: Introduction to Radamacher complexity Lecturer: Kirthevasan Kandasamy Scribed by: Justin Kiefel, Albert Dorador 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 …

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CS861: Theoretical Foundations of Machine Learning Lecture 13 10 04 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 13 – 10/04/2023 University of Wisconsin–Madison, Fall 2023 Lecture 13: Varshamov-Gilbert lemma, Nonparametric regression Lecturer: Kirthevasan Kandasamy Scribed by: Elliot Pickens, Yuya Shimizu 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 …

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