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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, A Moore
Advances in Neural Information Processing Systems 18, 2005
4082005
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
4002014
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
1992014
The big data bootstrap
A Kleiner, A Talwalkar, P Sarkar, M Jordan
arXiv preprint arXiv:1206.6415, 2012
1672012
Nonparametric link prediction in dynamic networks
P Sarkar, D Chakrabarti, M Jordan
arXiv preprint arXiv:1206.6394, 2012
1662012
Hypothesis testing for automated community detection in networks
PJ Bickel, P Sarkar
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2016
1572016
Crowdsourced enumeration queries
B Trushkowsky, T Kraska, MJ Franklin, P Sarkar
2013 IEEE 29th International Conference on Data Engineering (ICDE), 673-684, 2013
1202013
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
1202008
Theoretical justification of popular link prediction heuristics
P Sarkar, D Chakrabarti, AW Moore
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
1162011
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Advances in neural information processing systems 18, 1145, 2006
1112006
A tractable approach to finding closest truncated-commute-time neighbors in large graphs
P Sarkar, A Moore
arXiv preprint arXiv:1206.5259, 2012
1022012
Role of normalization in spectral clustering for stochastic blockmodels
P Sarkar, PJ Bickel
The Annals of Statistics 43 (3), 962-990, 2015
1012015
A latent space approach to dynamic embedding of co-occurrence data
P Sarkar, SM Siddiqi, GJ Gordon
Artificial Intelligence and Statistics, 420-427, 2007
812007
Fast nearest-neighbor search in disk-resident graphs
P Sarkar, AW Moore
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
692010
Estimating mixed memberships with sharp eigenvector deviations
X Mao, P Sarkar, D Chakrabarti
Journal of the American Statistical Association 116 (536), 1928-1940, 2021
56*2021
Covariate regularized community detection in sparse graphs
B Yan, P Sarkar
Journal of the American Statistical Association 116 (534), 734-745, 2021
53*2021
Active learning for crowd-sourced databases
B Mozafari, P Sarkar, MJ Franklin, MI Jordan, S Madden
arXiv preprint arXiv:1209.3686, 2012
512012
Convergence of gradient EM on multi-component mixture of Gaussians
B Yan, M Yin, P Sarkar
Advances in Neural Information Processing Systems 30, 2017
44*2017
On mixed memberships and symmetric nonnegative matrix factorizations
X Mao, P Sarkar, D Chakrabarti
International Conference on Machine Learning, 2324-2333, 2017
432017
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
332022
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