Purnamrita Sarkar
Purnamrita Sarkar
Assistant Professor, Statistics and Data Sciences, University of Texas at Austin
Verified email at austin.utexas.edu
Cited by
Cited by
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Acm Sigkdd Explorations Newsletter 7 (2), 31-40, 2005
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
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
The big data bootstrap
A Kleiner, A Talwalkar, P Sarkar, M Jordan
arXiv preprint arXiv:1206.6415, 2012
Nonparametric link prediction in dynamic networks
P Sarkar, D Chakrabarti, M Jordan
arXiv preprint arXiv:1206.6394, 2012
Hypothesis testing for automated community detection in networks
PJ Bickel, P Sarkar
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2016
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
Theoretical justification of popular link prediction heuristics
P Sarkar, D Chakrabarti, AW Moore
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
Crowdsourced enumeration queries
B Trushkowsky, T Kraska, MJ Franklin, P Sarkar
2013 IEEE 29th International Conference on Data Engineering (ICDE), 673-684, 2013
A tractable approach to finding closest truncated-commute-time neighbors in large graphs
P Sarkar, A Moore
arXiv preprint arXiv:1206.5259, 2012
Role of normalization in spectral clustering for stochastic blockmodels
P Sarkar, PJ Bickel
The Annals of Statistics 43 (3), 962-990, 2015
A latent space approach to dynamic embedding of co-occurrence data
P Sarkar, SM Siddiqi, GJ Gordon
Artificial Intelligence and Statistics, 420-427, 2007
Fast nearest-neighbor search in disk-resident graphs
P Sarkar, AW Moore
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
Active learning for crowd-sourced databases
B Mozafari, P Sarkar, MJ Franklin, MI Jordan, S Madden
arXiv preprint arXiv:1209.3686, 2012
Estimating mixed memberships with sharp eigenvector deviations
X Mao, P Sarkar, D Chakrabarti
Journal of the American Statistical Association, 1-13, 2020
Covariate regularized community detection in sparse graphs
B Yan, P Sarkar
Journal of the American Statistical Association 116 (534), 734-745, 2021
Convergence of gradient EM on multi-component mixture of Gaussians
B Yan, M Yin, P Sarkar
Advances in Neural Information Processing Systems, 2017
On mixed memberships and symmetric nonnegative matrix factorizations
X Mao, P Sarkar, D Chakrabarti
International Conference on Machine Learning, 2324-2333, 2017
On clustering network-valued data
SS Mukherjee, P Sarkar, L Lin
arXiv preprint arXiv:1606.02401, 2016
Random walks in social networks and their applications: a survey
P Sarkar, AW Moore
Social Network Data Analytics, 43-77, 2011
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