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 | 481 | 2014 |
Dynamic social network analysis using latent space models P Sarkar, AW Moore Acm sigkdd explorations newsletter 7 (2), 31-40, 2005 | 457 | 2005 |
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 | 274* | 2014 |
Hypothesis testing for automated community detection in networks PJ Bickel, P Sarkar Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016 | 211 | 2016 |
Nonparametric link prediction in large scale dynamic networks P Sarkar, D Chakrabarti, M Jordan | 207* | 2014 |
The big data bootstrap A Kleiner, A Talwalkar, P Sarkar, M Jordan arXiv preprint arXiv:1206.6415, 2012 | 179 | 2012 |
Role of normalization in spectral clustering for stochastic blockmodels P Sarkar, PJ Bickel | 133 | 2015 |
Theoretical Justification of Popular Link Prediction Heuristics. P Sarkar, D Chakrabarti, AW Moore IJCAI proceedings-international joint conference on artificial intelligence …, 2011 | 133 | 2011 |
Crowdsourced enumeration queries B Trushkowsky, T Kraska, MJ Franklin, P Sarkar 2013 IEEE 29th international conference on data engineering (ICDE), 673-684, 2013 | 131 | 2013 |
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 | 131 | 2008 |
Dynamic social network analysis using latent space models P Sarkar, AW Moore Advances in neural information processing systems 18, 1145, 2006 | 129 | 2006 |
A tractable approach to finding closest truncated-commute-time neighbors in large graphs P Sarkar, A Moore arXiv preprint arXiv:1206.5259, 2012 | 106 | 2012 |
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 | 88 | 2007 |
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 | 75 | 2022 |
Fast nearest-neighbor search in disk-resident graphs P Sarkar, AW Moore Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 73 | 2010 |
Convergence of gradient EM on multi-component mixture of Gaussians B Yan, M Yin, P Sarkar Advances in Neural Information Processing Systems 30, 2017 | 62 | 2017 |
On mixed memberships and symmetric nonnegative matrix factorizations X Mao, P Sarkar, D Chakrabarti International conference on machine learning, 2324-2333, 2017 | 59 | 2017 |
On clustering network-valued data SS Mukherjee, P Sarkar, L Lin Advances in neural information processing systems 30, 2017 | 49 | 2017 |