4. Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya (2020) Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. Journal of Machine Learning and Cybernetics DOI:10.1007/s13042-019-01055-9 (Indexing: SCIE, IF: 3.844) paper, preprint code

3. Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya (2019) SAAGs: Biased Stochastic Variance Reduction Methods for Large-scale Learning. Applied Intelligence, Springer (accepted), preprint code

2. Vinod Kumar Chauhan, Anuj Sharma and Kalpana Dahiya, "Faster Learning by Reduction of Data Access Time", Applied Intelligence, Springer, (SCI, IF: 1.983), 2018 paper code

1. V. K. Chauhan, K. Dahiya & A. Sharma. (2017). "Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems". Proceedings of the Ninth Asian Conference on Machine Learning (ACML-2017), in PMLR 77:49-64. paper code