2 papers
cs.LG2018
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
Nowadays stochastic approximation methods are one of the major research direction to deal with the large-scale machine learning problems. From stochastic first order methods, now t…
cs.LG2018
SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
Stochastic approximation is one of the effective approach to deal with the large-scale machine learning problems and the recent research has focused on reduction of variance, cause…