Purnamrita Sarkar
Purnamrita Sarkar
Assistant Professor, Statistics and Data Sciences, University of Texas at Austin
Verified email at austin.utexas.edu
Title
Cited by
Cited by
Year
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Advances in Neural Information Processing Systems, 1145-1152, 2006
4212006
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
2942014
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
1632014
The big data bootstrap
A Kleiner, A Talwalkar, P Sarkar, M Jordan
arXiv preprint arXiv:1206.6415, 2012
1462012
Nonparametric link prediction in dynamic networks
P Sarkar, D Chakrabarti, M Jordan
arXiv preprint arXiv:1206.6394, 2012
1352012
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
1162008
Crowdsourced enumeration queries
B Trushkowsky, T Kraska, MJ Franklin, P Sarkar
2013 IEEE 29th International Conference on Data Engineering (ICDE), 673-684, 2013
1082013
Theoretical justification of popular link prediction heuristics.
P Sarkar, D Chakrabarti, AW Moore
IJCAI proceedings-international joint conference on artificial intelligence …, 2011
1012011
Hypothesis testing for automated community detection in networks
PJ Bickel, P Sarkar
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2015
972015
A tractable approach to finding closest truncated-commute-time neighbors in large graphs
P Sarkar, A Moore
arXiv preprint arXiv:1206.5259, 2012
902012
Role of normalization in spectral clustering for stochastic blockmodels
P Sarkar, PJ Bickel
The Annals of Statistics 43 (3), 962-990, 2015
752015
A latent space approach to dynamic embedding of co-occurrence data
P Sarkar, SM Siddiqi, GJ Gordon
Artificial Intelligence and Statistics, 420-427, 2007
662007
Fast nearest-neighbor search in disk-resident graphs
P Sarkar, AW Moore
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
592010
Active learning for crowd-sourced databases
B Mozafari, P Sarkar, MJ Franklin, MI Jordan, S Madden
arXiv preprint arXiv:1209.3686, 2012
462012
Crowdsourced enumeration queries
MJ Franklin, B Trushkowsky, P Sarkar, T Kraska
Proceedings of the 2013 IEEE International Conference on Data Engineering …, 2013
342013
Estimating mixed memberships with sharp eigenvector deviations
X Mao, P Sarkar, D Chakrabarti
Journal of the American Statistical Association, 1-24, 2020
242020
Convergence of gradient EM on multi-component mixture of Gaussians
B Yan, M Yin, P Sarkar
Advances in Neural Information Processing Systems, 6956-6966, 2017
232017
Random walks in social networks and their applications: a survey
P Sarkar, AW Moore
Social Network Data Analytics, 43-77, 2011
212011
Convex relaxation for community detection with covariates
B Yan, P Sarkar
arXiv preprint arXiv:1607.02675, 2016
192016
Nonparametric link prediction in large scale dynamic networks
P Sarkar, D Chakrabarti, M Jordan
Electronic Journal of Statistics 8 (2), 2022-2065, 2014
192014
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