CS861: Theoretical Foundations of Machine Learning Lecture 15 09 10 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 15 – 09/10/2023 University of Wisconsin–Madison, Fall 2023 Lecture 15: Density estimation, Lower bounds for prediction problems Lecturer: Kirthevasan Kandasamy Scribed by: Haoyue Bai, Zexuan Sun 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 21 10 23 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 21 – 10/23/2023 University of Wisconsin–Madison, Fall 2023 Lecture 21: Martingale concentration and structured bandits Lecturer: Kirthevasan Kandasamy Scribed by: Zhifeng Chen, Xinyan 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

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CS861: Theoretical Foundations of Machine Learning Lecture 1 09 13 2023 Univer

CS861: Theoretical Foundations of Machine Learning Lecture 1 – 09/13/2023 University of Wisconsin–Madison, Fall 2023 Lecture 04: Rademacher Complexity & Growth Function Lecturer: Kirthevasan Kandasamy Scribed by: Yixuan Zhang, Elliot Pickens 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 1 2 09 06 08 2023 U

CS861: Theoretical Foundations of Machine Learning Lecture 1-2 – 09/06-08/2023 University of Wisconsin–Madison, Fall 2023 Lecture 01 & 02: PAC Learning Lecturer: Kirthevasan Kandasamy Scribed by: Albert Dorador, Michael Harding 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 18 10 16 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 18 – 10/16/2023 University of Wisconsin–Madison, Fall 2023 Lecture 18: Proof for UCB (cont’d), K-armed Bandit Lower Bound Lecturer: Kirthevasan Kandasamy Scribed by: Michael Harding and Congwei Yang Disclaimer: These notes have not been subjected to the usual scrutiny reserved for formal publications. They may be distributed outside

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CS861: Theoretical Foundations of Machine Learning Lecture 12 10 02 2023 Unive

CS861: Theoretical Foundations of Machine Learning Lecture 12 – 10/02/2023 University of Wisconsin–Madison, Fall 2023 Lecture 12: Fano’s method Lecturer: Kirthevasan Kandasamy Scribed by: Yuya Shimizu, 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 permission of

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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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