Machine Learning, Aritificial Intelligence, Data Science, Programming, Deep Learning.
samples are thrown away and that is why this method is not popular. But it opens ways for other algorithms. Importance sampling In rejection sampling, we find k such that k q(x) is an upper bound for unnormalized p(x). Our objective is only finding a nice upper bound. But, what if we take advantage