2 citations · 3 across the 6 of their papers we have counts for
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cs.DS2021
Theory meets Practice at the Median: a worst case comparison of relative error quantile algorithms
Graham Cormode, Abhinav Mishra, Joseph Ross +1
Estimating the distribution and quantiles of data is a foundational task in data mining and data science. We study algorithms which provide accurate results for extreme quantile qu…
cs.DS2019
Finding Nearest Neighbors in graphs locally
Abhinav Mishra
Many distributed learning techniques have been motivated by the increasing size of datasets and their inability to fit into main memory on a single machine. We propose an algorithm…