Purnamrita Sarkar

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	Wszystkie	Od 2020
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Deepayan ChakrabartiAssociate Professor, McCombs School of Business, UT AustinZweryfikowany adres z utexas.edu
Andrew MooreDean, School of Computer Science, Carnegie MellonZweryfikowany adres z cs.cmu.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyZweryfikowany adres z cs.berkeley.edu
peter bickelProfessor of Statistics, UC BerkeleyZweryfikowany adres z stat.berkeley.edu
Bowei YanUniversity of Texas at AustinZweryfikowany adres z utexas.edu
Michael FranklinUniversity of ChicagoZweryfikowany adres z uchicago.edu
Soumendu Sundar MukherjeeAssistant Professor at Statistics and Mathematics Unit, Indian Statistical Institute, KolkataZweryfikowany adres z isical.ac.in
Xueyu Mao (毛学宇)The University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Ameet TalwalkarCMU, DatadogZweryfikowany adres z cmu.edu
Tim KraskaMITZweryfikowany adres z mit.edu
Y. X. Rachel WangSchool of Mathematics and Statistics, University of SydneyZweryfikowany adres z sydney.edu.au
Mingzhang YinAssistant Professor, University of FloridaZweryfikowany adres z ufl.edu
Samuel MaddenMITZweryfikowany adres z csail.mit.edu
Barzan MozafariAssociate Professor, University of Michigan (Ann Arbor)Zweryfikowany adres z umich.edu
Lizhen LinDepartment of Mathematics, The University of MarylandZweryfikowany adres z umd.edu
Sharmodeep BhattacharyyaAssistant Professor of Statistics, Oregon State UniversityZweryfikowany adres z science.oregonstate.edu
Tianxi LiAssistant Professor of Statistics, University of Minnesota, Twin CitiesZweryfikowany adres z umn.edu
Koen Van den BergeJ&J Innovative MedicineZweryfikowany adres z berkeley.edu
LIHUA LEIStanford UniversityZweryfikowany adres z stanford.edu
Elizaveta (Liza) LevinaProfessor of Statistics, University of MichiganZweryfikowany adres z umich.edu

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Purnamrita Sarkar

Associate Professor, Statistics and Data Sciences, University of Texas at Austin

Zweryfikowany adres z austin.utexas.edu

Theoretical Statistics Scalable Algorithms Networks Machine Learning Random Matrices


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Dynamic social network analysis using latent space models P Sarkar, AW Moore Acm sigkdd explorations newsletter 7 (2), 31-40, 2005	583	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	523	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	288*	2014
Hypothesis testing for automated community detection in networks PJ Bickel, P Sarkar Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016	235	2016
Nonparametric link prediction in large scale dynamic networks P Sarkar, D Chakrabarti, M Jordan	220*	2014
The big data bootstrap A Kleiner, A Talwalkar, P Sarkar, M Jordan arXiv preprint arXiv:1206.6415, 2012	184	2012
Role of normalization in spectral clustering for stochastic blockmodels P Sarkar, PJ Bickel	143	2015
Theoretical Justification of Popular Link Prediction Heuristics. P Sarkar, D Chakrabarti, AW Moore IJCAI proceedings-international joint conference on artificial intelligence …, 2011	135	2011
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	134	2008
Crowdsourced enumeration queries B Trushkowsky, T Kraska, MJ Franklin, P Sarkar 2013 IEEE 29th international conference on data engineering (ICDE), 673-684, 2013	128	2013
Estimating mixed memberships with sharp eigenvector deviations X Mao, P Sarkar, D Chakrabarti Journal of the American Statistical Association 116 (536), 1928-1940, 2021	114*	2021
A tractable approach to finding closest truncated-commute-time neighbors in large graphs P Sarkar, A Moore arXiv preprint arXiv:1206.5259, 2012	110	2012
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	94	2022
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	86*	2021
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	72*	2017
On mixed memberships and symmetric nonnegative matrix factorizations X Mao, P Sarkar, D Chakrabarti International conference on machine learning, 2324-2333, 2017	61	2017
On clustering network-valued data SS Mukherjee, P Sarkar, L Lin Advances in neural information processing systems 30, 2017	55	2017
Overlapping clustering models, and one (class) svm to bind them all X Mao, P Sarkar, D Chakrabarti Advances in Neural Information Processing Systems 31, 2018	49	2018

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