60 citations · 115 across the 4 of their papers we have counts for
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cs.LG2014★ 18 cited
Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods
Animashree Anandkumar, Rong Ge, Majid Janzamin
We provide guarantees for learning latent variable models emphasizing on the overcomplete regime, where the dimensionality of the latent space can exceed the observed dimensionalit…
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…