activity
20182020
collaborators

6 papers

cs.DC2020

Optimizations to the Parallel Breath First Search on Distributed Memory

Anuj Sharma, Syed Mohammed Arshad Zaidi

Graphs and their traversal is becoming significant as it is applicable to various areas of mathematics, science and technology. Various problems in fields as varied as biochemistry…

cs.LG2019

Modified online Newton step based on element wise multiplication

Charanjeet, Anuj Sharma

The second order method as Newton Step is a suitable technique in Online Learning to guarantee regret bound. The large data is a challenge in Newton method to store second order ma…

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

Online learning using multiple times weight updating

Charanjeet, Anuj Sharma

Online learning makes sequence of decisions with partial data arrival where next movement of data is unknown. In this paper, we have presented a new technique as multiple times wei…

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…

q-bio.NC2018

Temporal processing and context dependency in C. elegans mechanosensation

Mochi Liu, Anuj K Sharma, Joshua W Shaevitz +1

A quantitative understanding of how sensory signals are transformed into motor outputs places useful constraints on brain function and helps reveal the brain's underlying computati…