4 citations · 9 across the 27 of their papers we have counts for
4 papers · 1 filter
Learning under Latent Group Sparsity via Diffusion on Networks
Subhroshekhar Ghosh, Soumendu Sundar Mukherjee
Group or cluster structure on explanatory variables in machine learning problems is a very general phenomenon, which has attracted broad interest from practitioners and theoreticia…
A new approach to locally adaptive polynomial regression
Sabyasachi Chatterjee, Subhajit Goswami, Soumendu Sundar Mukherjee
Adaptive bandwidth selection is a fundamental challenge in nonparametric regression. This paper introduces a new bandwidth selection procedure inspired by the optimality criteria f…
Graphon Estimation from Partially Observed Network Data
Soumendu Sundar Mukherjee, Sayak Chakrabarti
We consider estimating the edge-probability matrix of a network generated from a graphon model when the full network is not observed---only some overlapping subgraphs are. We exten…
Two provably consistent divide and conquer clustering algorithms for large networks
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Peter J. Bickel
In this article, we advance divide-and-conquer strategies for solving the community detection problem in networks. We propose two algorithms which perform clustering on a number of…