Spremljaj
Soumendu Sundar Mukherjee
Soumendu Sundar Mukherjee
Assistant Professor at Statistics and Mathematics Unit, Indian Statistical Institute, Kolkata
Preverjeni e-poštni naslov na isical.ac.in - Domača stran
Naslov
Navedeno
Navedeno
Leto
On clustering network-valued data
SS Mukherjee, P Sarkar, L Lin
Advances in neural information processing systems, 2017
552017
Mean field for the stochastic blockmodel: Optimization landscape and convergence issues
SS Mukherjee, P Sarkar
Advances in neural information processing systems, 2018
292018
Two provably consistent divide-and-conquer clustering algorithms for large networks
SS Mukherjee, P Sarkar, PJ Bickel
Proceedings of the National Academy of Sciences 118 (44), e2100482118, 2021
24*2021
Morphological Network: How Far Can We Go with Morphological Neurons?
R Mondal, SS Mukherjee, S Santra, B Chanda
arXiv preprint arXiv:1901.00109, 2019
152019
On some inference problems for networks
SS Mukherjee
University of California, Berkeley, 2018
102018
When random initializations help: a study of variational inference for community detection
P Sarkar, YXR Wang, SS Mukherjee
Journal of Machine Learning Research 22 (22), 1-46, 2021
82021
Graphon estimation from partially observed network data
SS Mukherjee, S Chakrabarti
arXiv preprint arXiv:1906.00494, 2019
82019
Minimum distance estimation of milky way model parameters and related inference
S Banerjee, A Basu, S Bhattacharya, S Bose, D Chakrabarty, ...
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 91-115, 2015
82015
Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences
S Bhattacharyya, S Chatterjee, SS Mukherjee
arXiv preprint arXiv:2009.02112, 2020
72020
Distribution of eigenvalues of matrix ensembles arising from wigner and palindromic toeplitz blocks
K Blackwell, N Borade, A Bose, CD VI, N Luntzlara, R Ma, SJ Miller, ...
arXiv preprint arXiv:2102.05839, 2021
42021
Bulk behaviour of Schur-Hadamard products of symmetric random matrices
A Bose, SS Mukherjee
Random Matrices: Theory and Applications 3 (2), 1450007, 2014
42014
Changepoint analysis of topic proportions in temporal text data
A Bose, SS Mukherjee
arXiv preprint arXiv:2112.00827, 2021
32021
Transfer learning for latent variable network models
A Jalan, A Mazumdar, SS Mukherjee, P Sarkar
arXiv preprint arXiv:2406.03437, 2024
22024
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis
S Chatterjee, S Chatterjee, SS Mukherjee, A Nath, S Bhattacharyya
arXiv preprint arXiv:2208.01365, 2022
22022
Learning with latent group sparsity via heat flow dynamics on networks
S Ghosh, SS Mukherjee
arXiv preprint arXiv:2201.08326, 2022
22022
High dimensional PCA: a new model selection criterion
A Chakraborty, SS Mukherjee, A Chakrabarti
arXiv preprint arXiv:2011.04470, 2020
22020
Edge spectra of Gaussian random symmetric matrices with correlated entries
D Banerjee, SS Mukherjee, D Pal
arXiv preprint arXiv:2409.11381, 2024
12024
Spectra of adjacency and Laplacian matrices of Erd\H {o} sR\'{e} nyi hypergraphs
SS Mukherjee, D Pal, H Talukdar
arXiv preprint arXiv:2409.03756, 2024
12024
Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing
H Chu, S Ghosh, CT Lam, SS Mukherjee
arXiv preprint arXiv:2402.17595, 2024
12024
Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals
S Ghosh, SS Mukherjee, JB Pan
arXiv preprint arXiv:2312.07839, 2023
12023
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