5 citations · 10 across the 9 of their papers we have counts for
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cs.LG2020
Linear-Sample Learning of Low-Rank Distributions
Ayush Jain, Alon Orlitsky
Many latent-variable applications, including community detection, collaborative filtering, genomic analysis, and NLP, model data as generated by low-rank matrices. Yet despite cons…
stat.ML2020★ 5 cited
A General Method for Robust Learning from Batches
Ayush Jain, Alon Orlitsky
In many applications, data is collected in batches, some of which are corrupt or even adversarial. Recent work derived optimal robust algorithms for estimating discrete distributio…
stat.ML2020★ 1 cited
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
Yi Hao, Ayush Jain, Alon Orlitsky +1
Sample- and computationally-efficient distribution estimation is a fundamental tenet in statistics and machine learning. We present SURF, an algorithm for approximating distributio…