62 citations · 85 across the 2 of their papers we have counts for
2 papers
stat.ML2016★ 23 cited
Online and Differentially-Private Tensor Decomposition
Yining Wang, Animashree Anandkumar
In this paper, we resolve many of the key algorithmic questions regarding robustness, memory efficiency, and differential privacy of tensor decomposition. We propose simple variant…
stat.ML2015★ 62 cited
Fast and Guaranteed Tensor Decomposition via Sketching
Yining Wang, Hsiao-Yu Tung, Alexander Smola +1
Tensor CANDECOMP/PARAFAC (CP) decomposition has wide applications in statistical learning of latent variable models and in data mining. In this paper, we propose fast and randomize…