Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent.

Guillaume Papa Pascal Bianchi Stéphan Clémençon

Published in: ALT (2015)

Keyphrases

stochastic gradient descent
adaptive sampling
least squares
monte carlo
loss function
matrix factorization
importance sampling
step size
random forests
online algorithms
multiple kernel learning
regularization parameter
random sampling
weight vector
sampling methods
control charts
support vector machine
pairwise