Purnamrita Sarkar

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Soavtorji

Deepayan ChakrabartiAssociate Professor, McCombs School of Business, UT AustinPreverjeni e-poštni naslov na utexas.edu
Andrew MooreDean, School of Computer Science, Carnegie MellonPreverjeni e-poštni naslov na cs.cmu.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
peter bickelProfessor of Statistics, UC BerkeleyPreverjeni e-poštni naslov na stat.berkeley.edu
Bowei YanUniversity of Texas at AustinPreverjeni e-poštni naslov na utexas.edu
Michael FranklinUniversity of ChicagoPreverjeni e-poštni naslov na uchicago.edu
Soumendu Sundar MukherjeeAssistant Professor at Statistics and Mathematics Unit, Indian Statistical Institute, KolkataPreverjeni e-poštni naslov na isical.ac.in
Xueyu Mao (毛学宇)The University of Texas at AustinPreverjeni e-poštni naslov na cs.utexas.edu
Ameet TalwalkarCMU, DatadogPreverjeni e-poštni naslov na cmu.edu
Tim KraskaMITPreverjeni e-poštni naslov na mit.edu
Y. X. Rachel WangSchool of Mathematics and Statistics, University of SydneyPreverjeni e-poštni naslov na sydney.edu.au
Mingzhang YinAssistant Professor, University of FloridaPreverjeni e-poštni naslov na ufl.edu
Samuel MaddenMITPreverjeni e-poštni naslov na csail.mit.edu
Barzan MozafariAssociate Professor, University of Michigan (Ann Arbor)Preverjeni e-poštni naslov na umich.edu
Lizhen LinDepartment of Mathematics, The University of MarylandPreverjeni e-poštni naslov na umd.edu
Sharmodeep BhattacharyyaAssistant Professor of Statistics, Oregon State UniversityPreverjeni e-poštni naslov na science.oregonstate.edu
Tianxi LiAssistant Professor of Statistics, University of Minnesota, Twin CitiesPreverjeni e-poštni naslov na umn.edu
Koen Van den BergeJ&J Innovative MedicinePreverjeni e-poštni naslov na berkeley.edu
LIHUA LEIStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Elizaveta (Liza) LevinaProfessor of Statistics, University of MichiganPreverjeni e-poštni naslov na umich.edu

Spremljaj

Purnamrita Sarkar

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

Preverjeni e-poštni naslov na austin.utexas.edu

Theoretical Statistics Scalable Algorithms Networks Machine Learning Random Matrices


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	289*	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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