1.1k citations · 7.8k across the 180 of their papers we have counts for
Showing 2016 · cs.LGShow all
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cs.LG2016
Spectral Methods for Correlated Topic Models
Forough Arabshahi, Animashree Anandkumar
In this paper, we propose guaranteed spectral methods for learning a broad range of topic models, which generalize the popular Latent Dirichlet Allocation (LDA). We overcome the li…
cs.LG2016★ 11 cited
Training Input-Output Recurrent Neural Networks through Spectral Methods
Hanie Sedghi, Anima Anandkumar
We consider the problem of training input-output recurrent neural networks (RNN) for sequence labeling tasks. We propose a novel spectral approach for learning the network paramete…
cs.LG2016★ 89 cited
Efficient approaches for escaping higher order saddle points in non-convex optimization
Anima Anandkumar, Rong Ge
Local search heuristics for non-convex optimizations are popular in applied machine learning. However, in general it is hard to guarantee that such algorithms even converge to a lo…