2 papers
cs.LG2017
Linear Learning with Sparse Data
Ofer Dekel
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 Gra…
cs.LG2014
Online Learning with Composite Loss Functions
Ofer Dekel, Jian Ding, Tomer Koren +1
We study a new class of online learning problems where each of the online algorithm's actions is assigned an adversarial value, and the loss of the algorithm at each step is a know…