4 citations · 9 across the 10 of their papers we have counts for
8 papers
Learning with latent group sparsity via heat flow dynamics 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…
Distribution of Eigenvalues of Matrix Ensembles arising from Wigner and Palindromic Toeplitz Blocks
Keller Blackwell, Neelima Borade, Arup Bose +7
Random Matrix Theory (RMT) has successfully modeled diverse systems, from energy levels of heavy nuclei to zeros of -functions; this correspondence has allowed RMT to successful…
High dimensional PCA: a new model selection criterion
Abhinav Chakraborty, Soumendu Sundar Mukherjee, Arijit Chakrabarti
Given a random sample from a multivariate population, estimating the number of large eigenvalues of the population covariance matrix is an important problem in Statistics with wide…
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
Sharmodeep Bhattacharyya, Shirshendu Chatterjee, Soumendu Sundar Mukherjee
We consider the offline change point detection and localization problem in the context of piecewise stationary networks, where the observable is a finite sequence of networks. We d…
Exact Tests for Offline Changepoint Detection in Multichannel Binary and Count Data with Application to Networks
Shyamal K. De, Soumendu Sundar Mukherjee
We consider offline detection of a single changepoint in binary and count time-series. We compare exact tests based on the cumulative sum (CUSUM) and the likelihood ratio (LR) stat…
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…