8 citations · 17 across the 5 of their papers we have counts for
5 papers
Bi-objective Two Phase Transportation Problem
Prabhjot Kaur, Kalpana Dahiya, Vanita Verma
This paper discusses a bi-objective two-phase transportation problem (BTPTP) in which transportation takes place in two phases. The whole set of source-destination links is partiti…
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
LIBS2ML is a library based on scalable second order learning algorithms for solving large-scale problems, i.e., big data problems in machine learning. LIBS2ML has been developed us…
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…
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…
Faster Learning by Reduction of Data Access Time
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
Nowadays, the major challenge in machine learning is the Big Data challenge. The big data problems due to large number of data points or large number of features in each data point…