Lecture 3 — April 3 , 2017
نویسنده
چکیده
Where did we lose in this argument? First, whenever you do a union bound, you’re overestimating the probability of the bad event. In particular, this can be a gross overestimate if many labelings are similar to each other, because then if the random swapping of one pair is unlikely to cause harm, then swapping another close one is unlikely to cause harm. Next lecture, we will find a way to get better bounds in some cases.
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