Deep embedding methods have influenced many areas of unsupervised learni...
The profile of a sample is the multiset of its symbol frequencies. We sh...
Sample- and computationally-efficient distribution estimation is a
funda...
We consider the fundamental learning problem of estimating properties of...
We study three fundamental statistical-learning problems: distribution
e...
Estimating properties of discrete distributions is a fundamental problem...
The best-known and most commonly used distribution-property estimation
t...
The problem of estimating an unknown discrete distribution from its samp...