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Purnamrita Sarkar
Purnamrita Sarkar
Associate Professor, Statistics and Data Sciences, University of Texas at Austin
Verified email at austin.utexas.edu
Title
Cited by
Cited by
Year
A scalable bootstrap for massive data
A Kleiner, A Talwalkar, P Sarkar, MI Jordan
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2014
4852014
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Acm sigkdd explorations newsletter 7 (2), 31-40, 2005
4562005
Scaling up crowd-sourcing to very large datasets: a case for active learning
B Mozafari, P Sarkar, M Franklin, M Jordan, S Madden
Proceedings of the VLDB Endowment 8 (2), 125-136, 2014
277*2014
Nonparametric link prediction in large scale dynamic networks
P Sarkar, D Chakrabarti, M Jordan
216*2014
Hypothesis testing for automated community detection in networks
PJ Bickel, P Sarkar
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016
2132016
The big data bootstrap
A Kleiner, A Talwalkar, P Sarkar, M Jordan
arXiv preprint arXiv:1206.6415, 2012
1792012
Role of normalization in spectral clustering for stochastic blockmodels
P Sarkar, PJ Bickel
1342015
Theoretical Justification of Popular Link Prediction Heuristics.
P Sarkar, D Chakrabarti, AW Moore
IJCAI proceedings-international joint conference on artificial intelligence …, 2011
1342011
Fast incremental proximity search in large graphs
P Sarkar, AW Moore, A Prakash
Proceedings of the 25th international conference on Machine learning, 896-903, 2008
1312008
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Advances in neural information processing systems 18, 1145, 2006
1312006
Crowdsourced enumeration queries
B Trushkowsky, T Kraska, MJ Franklin, P Sarkar
2013 IEEE 29th international conference on data engineering (ICDE), 673-684, 2013
1292013
A tractable approach to finding closest truncated-commute-time neighbors in large graphs
P Sarkar, A Moore
arXiv preprint arXiv:1206.5259, 2012
1062012
Estimating mixed memberships with sharp eigenvector deviations
X Mao, P Sarkar, D Chakrabarti
Journal of the American Statistical Association 116 (536), 1928-1940, 2021
98*2021
A latent space approach to dynamic embedding of co-occurrence data
P Sarkar, SM Siddiqi, GJ Gordon
Artificial Intelligence and Statistics, 420-427, 2007
872007
Covariate regularized community detection in sparse graphs
B Yan, P Sarkar
Journal of the American Statistical Association 116 (534), 734-745, 2021
79*2021
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
772022
Fast nearest-neighbor search in disk-resident graphs
P Sarkar, AW Moore
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
732010
Convergence of gradient EM on multi-component mixture of Gaussians
B Yan, M Yin, P Sarkar
Advances in Neural Information Processing Systems 30, 2017
64*2017
On mixed memberships and symmetric nonnegative matrix factorizations
X Mao, P Sarkar, D Chakrabarti
International conference on machine learning, 2324-2333, 2017
602017
On clustering network-valued data
SS Mukherjee, P Sarkar, L Lin
Advances in neural information processing systems 30, 2017
522017
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