Adaptive Sampling for SGD by Exploiting Side Information

Siddharth Gopal

Abstract: This paper proposes a new mechanism for sampling training instances for stochastic gradient descent (SGD) methods by exploiting any side-information associated with the instances (for e.g. class-la...