60 citations · 123 across the 6 of their papers we have counts for
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cs.LG2012★ 7 cited
Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders
Sanjeev Arora, Rong Ge, Ankur Moitra +1
We present a new algorithm for Independent Component Analysis (ICA) which has provable performance guarantees. In particular, suppose we are given samples of the form …
cs.LG2012★ 60 cited
Learning Topic Models - Going beyond SVD
Sanjeev Arora, Rong Ge, Ankur Moitra
Topic Modeling is an approach used for automatic comprehension and classification of data in a variety of settings, and perhaps the canonical application is in uncovering thematic…
cs.LG2010★ 54 cited
Settling the Polynomial Learnability of Mixtures of Gaussians
Ankur Moitra, Gregory Valiant
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has a runnin…