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CSE290A, Spring 2020: Randomized Algorithms

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CSE290A, Spring 2020: Lec 16, the Count-Min sketch, and the AMS algorithm for frequency moments

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CSE290A, Spring 2020: Lec 15, improved distinct elements and introduction to heavy hitters

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CSE290A, Spring 2020: Lec 14, counting distinct elements in the streaming model

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CSE290A, Spring 2020: Lec 12, Introduction to distribution testing

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CSE290A, Spring 2020: Lec 11, the Poisson approximating and Poissonlzation

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CSE290A, Spring 2020: Lec 9, proof of the Chernoff upper tail, discussion of the tail bound

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CSE290A, Spring 2020: The Johnson-Lindenstrauss lemma

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CSE290A, Spring 2020: Estimating the average degree of a graph

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CSE290A, Spring 2020: Lec 7, Walker's alias method

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CSE290A, Randomized Algorithms: Lec6, Cohen-Lewis matrix multiplication

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CSE290A, Spring 2020: Lec 5, improved Karp-Luby-Madras

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CSE290A Spring 2020: Lec 4, Karp-Luby importance sampling

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CSE290A, Spring 2020: Lec 3, Chernoff bounds

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CSE290A, Spring 2020: Lec 2, the Hoeffing bound

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CSE290A, Spring 2020, Lec1: Quicksort and Karger's mincut

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