# Learning-based Support Estimation in Sublinear Time

@article{Eden2021LearningbasedSE, title={Learning-based Support Estimation in Sublinear Time}, author={Talya Eden and Piotr Indyk and Shyam Narayanan and Ronitt Rubinfeld and Sandeep Silwal and Tal Wagner}, journal={ArXiv}, year={2021}, volume={abs/2106.08396} }

We consider the problem of estimating the number of distinct elements in a large data set (or, equivalently, the support size of the distribution induced by the data set) from a random sample of its elements. The problem occurs in many applications, including biology, genomics, computer systems and linguistics. A line of research spanning the last decade resulted in algorithms that estimate the support up to ±εn from a sample of size O(log(1/ε) · n/ log n), where n is the data set size…

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