activity
20102022
most citedNonparametric Decentralized Sequential Detection via Universal Source Coding

4 citations · 8 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2022★ 3 cited

Predicting Treatment Adherence of Tuberculosis Patients at Scale

Mihir Kulkarni, Satvik Golechha, Rishi Raj +9

Tuberculosis (TB), an infectious bacterial disease, is a significant cause of death, especially in low-income countries, with an estimated ten million new cases reported globally i…

cs.SI2019

Temporal Ordered Clustering in Dynamic Networks: Unsupervised and Semi-supervised Learning Algorithms

Krzysztof Turowski, Jithin K. Sreedharan, Wojciech Szpankowski

In temporal ordered clustering, given a single snapshot of a dynamic network in which nodes arrive at distinct time instants, we aim at partitioning its nodes into ordered clus…

math.NA2017

Hamiltonian System Approach to Distributed Spectral Decomposition in Networks

Konstantin Avrachenkov, Philippe Jacquet, Jithin Sreedharan

Because of the significant increase in size and complexity of the networks, the distributed computation of eigenvalues and eigenvectors of graph matrices has become very challengin…

cs.SI2015

Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls

Konstantin Avrachenkov, Bruno Ribeiro, Jithin K. Sreedharan

Online social networks (OSN) contain extensive amount of information about the underlying society that is yet to be explored. One of the most feasible technique to fetch informatio…

cs.SI2014

Distribution and Dependence of Extremes in Network Sampling Processes

Konstantin Avrachenkov, Natalia M. Markovich, Jithin K. Sreedharan

We explore the dependence structure in the sampled sequence of large networks. We consider randomized algorithms to sample the nodes and study extremal properties in any associated…

cs.IT2013★ 4 cited

Nonparametric Decentralized Sequential Detection via Universal Source Coding

Jithin K. Sreedharan, Vinod Sharma

We consider nonparametric or universal sequential hypothesis testing problem when the distribution under the null hypothesis is fully known but the alternate hypothesis corresponds…

cs.IT2012

Spectrum Sensing using Distributed Sequential Detection via Noisy Reporting MAC

Jithin K. Sreedharan, Vinod Sharma

This paper considers cooperative spectrum sensing algorithms for Cognitive Radios which focus on reducing the number of samples to make a reliable detection. We develop an energy e…

cs.IT2010★ 1 cited

A Novel Algorithm for Cooperative Distributed Sequential Spectrum Sensing in Cognitive Radio

Jithin K S, Vinod Sharma

This paper considers cooperative spectrum sensing in Cognitive Radios. In our previous work we have developed DualSPRT, a distributed algorithm for cooperative spectrum sensing usi…