184 citations · 931 across the 54 of their papers we have counts for
5 papers · 1 filter
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su, Jingling Li, Bobby Bhattacharjee +1
We propose tensorial neural networks (TNNs), a generalization of existing neural networks by extending tensor operations on low order operands to those on high order ones. The prob…
Guaranteed Simultaneous Asymmetric Tensor Decomposition via Orthogonalized Alternating Least Squares
Furong Huang, Jialin Li, Xuchen You
Tensor CANDECOMP/PARAFAC (CP) decomposition is an important tool that solves a wide class of machine learning problems. Existing popular approaches recover components one by one, n…
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Christopher DeCarolis, Mukul Ram, Seyed A. Esmaeili +2
We provide an end-to-end differentially private spectral algorithm for learning LDA, based on matrix/tensor decompositions, and establish theoretical guarantees on utility/consiste…
Learning High-Dimensional Mixtures of Graphical Models
A. Anandkumar, D. Hsu, F. Huang +1
We consider unsupervised estimation of mixtures of discrete graphical models, where the class variable corresponding to the mixture components is hidden and each mixture component…
High-dimensional structure estimation in Ising models: Local separation criterion
Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang +1
We consider the problem of high-dimensional Ising (graphical) model selection. We propose a simple algorithm for structure estimation based on the thresholding of the empirical con…