Članki z zahtevami za javni dostop - Purnamrita SarkarVeč o tem
Ni na voljo nikjer: 1
Peter J. Bickel, Derek Bean, Aiyou Chen and Purnamrita Sarkar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’by Rohe …
PJ Bickel, D Bean, A Chen, P Sarkar
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
Zahteve: US National Science Foundation, US Department of Defense
Na voljo nekje: 20
Hypothesis testing for automated community detection in networks
PJ Bickel, P Sarkar
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016
Zahteve: US National Science Foundation
Hierarchical community detection by recursive partitioning
T Li, L Lei, S Bhattacharyya, K Van den Berge, P Sarkar, PJ Bickel, ...
Journal of the American Statistical Association 117 (538), 951-968, 2022
Zahteve: US National Science Foundation, US Department of Defense, Research …
Covariate regularized community detection in sparse graphs
B Yan, P Sarkar
Journal of the American Statistical Association 116 (534), 734-745, 2021
Zahteve: US National Science Foundation
Convergence of gradient EM on multi-component mixture of Gaussians
B Yan, M Yin, P Sarkar
Advances in Neural Information Processing Systems 30, 2017
Zahteve: US National Science Foundation
On clustering network-valued data
SS Mukherjee, P Sarkar, L Lin
Advances in neural information processing systems 30, 2017
Zahteve: US National Science Foundation, US Department of Defense
Overlapping clustering models, and one (class) svm to bind them all
X Mao, P Sarkar, D Chakrabarti
Advances in Neural Information Processing Systems 31, 2018
Zahteve: US National Science Foundation
Provable estimation of the number of blocks in block models
B Yan, P Sarkar, X Cheng
International Conference on Artificial Intelligence and Statistics, 1185-1194, 2018
Zahteve: US National Science Foundation
Subsampling sparse graphons under minimal assumptions
R Lunde, P Sarkar
Biometrika 110 (1), 15-32, 2023
Zahteve: US National Science Foundation
Mean field for the stochastic blockmodel: Optimization landscape and convergence issues
SS Mukherjee, P Sarkar, YX Wang, B Yan
Advances in neural information processing systems 31, 2018
Zahteve: US National Science Foundation, Australian Research Council
A robust spectral clustering algorithm for sub-Gaussian mixture models with outliers
PR Srivastava, P Sarkar, GA Hanasusanto
Operations Research 71 (1), 224-244, 2023
Zahteve: US National Science Foundation
On hyperparameter tuning in general clustering problemsm
X Fan, Y Yue, P Sarkar, YXR Wang
International conference on machine learning, 2996-3007, 2020
Zahteve: US National Science Foundation, Australian Research Council
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
Zahteve: US National Science Foundation, Department of Science & Technology, India
A theoretical case study of structured variational inference for community detection
M Yin, YXR Wang, P Sarkar
International conference on artificial intelligence and statistics, 3750-3761, 2020
Zahteve: US National Science Foundation
On the theoretical properties of the network jackknife
Q Lin, R Lunde, P Sarkar
International Conference on Machine Learning, 6105-6115, 2020
Zahteve: US National Science Foundation
Bootstrapping the error of Oja's algorithm
R Lunde, P Sarkar, R Ward
Advances in neural information processing systems 34, 6240-6252, 2021
Zahteve: US National Science Foundation, US Department of Defense
Streaming PCA for Markovian data
S Kumar, P Sarkar
Advances in Neural Information Processing Systems 36, 64650-64662, 2023
Zahteve: US National Science Foundation
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
Zahteve: US National Science Foundation, Australian Research Council
Network modelling of topological domains using Hi-C data
YXR Wang, P Sarkar, O Ursu, A Kundaje, PJ Bickel
The annals of applied statistics 13 (3), 1511, 2019
Zahteve: US National Institutes of Health, Howard Hughes Medical Institute …
Consistent nonparametric methods for network assisted covariate estimation
X Mao, D Chakrabarti, P Sarkar
International Conference on Machine Learning, 7435-7446, 2021
Zahteve: US National Science Foundation
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