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

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

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

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

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

CSE290A, Spring 2020: The Johnson-Lindenstrauss lemma

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

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

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

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

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

CSE290A, Spring 2020: Lec 3, Chernoff bounds

CSE290A, Spring 2020: Lec 2, the Hoeffing bound

