On Scalable Inference with Stochastic Gradient Descent.

Yixin Fang Jinfeng Xu Lei Yang

Published in: CoRR (2017)

Keyphrases

stochastic gradient descent
least squares
loss function
matrix factorization
step size
random forests
support vector machine
online algorithms
regularization parameter
multiple kernel learning
weight vector
probabilistic inference
bayesian inference
importance sampling
similarity measure