Total Variation Distance for Product Distributions is #𝖯-Complete
arxiv(2024)
摘要
We show that computing the total variation distance between two product
distributions is #𝖯-complete. This is in stark contrast with other
distance measures such as Kullback-Leibler, Chi-square, and Hellinger, which
tensorize over the marginals leading to efficient algorithms.
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