Maintaining a balance between the supply and demand of products by optim...
A novel linear integration rule called control neighbors is
proposed in ...
The raise of machine learning and deep learning led to significant
impro...
Driven by several successful applications such as in stochastic gradient...
While classical forms of stochastic gradient descent algorithm treat the...
Capturing the dependence structure of multivariate extreme data is a maj...
In this paper, we investigate a general class of stochastic gradient des...
Monte Carlo integration with variance reduction by means of control vari...