1 paper
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…