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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > LEARNING MIXTURES OF PRODUCT DISTRIBUTIONS:
Reports tagged with learning mixtures of product distributions:
TR16-021 | 11th February 2016
Shachar Lovett, Jiapeng Zhang

Noisy Population Recovery from Unknown Noise

The noisy population recovery problem is a statistical inference problem, which is a special case of the problem of learning mixtures of product distributions. Given an unknown distribution on $n$-bit strings with support of size $k$, and given access only to noisy samples from it, where each bit is flipped ... more >>>




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