@article{dekel2017linear,
author = {Dekel, Ofer},
title = {Linear Learning with Sparse Data},
year = {2017},
month = {January},
abstract = {Linear predictors are especially useful when the data is high-dimensional and sparse. One of the standard techniques used to train a linear predictor is the Averaged Stochastic Gradient Descent (ASGD) algorithm. We present an efficient implementation of ASGD that avoids dense vector operations. We also describe a translation invariant extension called Centered Averaged Stochastic Gradient Descent (CASGD).},
url = {http://approjects.co.za/?big=en-us/research/publication/linear-learning-sparse-data/},
}