Silvio Lattanzi

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Flavio ChierichettiProfessor at Sapienza University of RomeVerified email at chierichetti.name
Sergei VassilvitskiiGoogleVerified email at google.com
Alessandro PanconesiComputer Science - Sapienza, University of RomeVerified email at di.uniroma1.it
Ravi KumarGoogleVerified email at google.com
Vahab MirrokniGoogle Fellow, VP, Google ResearchVerified email at google.com
Alessandro EpastoStaff Research Scientist at GoogleVerified email at google.com
Morteza ZadimoghaddamResearch Scientist at GoogleVerified email at google.com
Nitish KorulaResearch Scientist, GoogleVerified email at google.com
Benjamin MoseleyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Prabhakar RaghavanGoogleVerified email at google.com
Augustin ChaintreauAssociate Professor, Columbia UniversityVerified email at cs.columbia.edu
Vincent Cohen-AddadGoogle Research (former CNRS & Sorbonne Université)Verified email at lip6.fr
Mohammad Hossein BateniResearch scientist, GoogleVerified email at cs.princeton.edu
Anirban DasguptaProfessor, IIT GandhinagarVerified email at iitgn.ac.in
Aditya BhaskaraUniversity of UtahVerified email at cs.utah.edu
Christian SohlerProfessor for Algorithmic Data Analysis, University of CologneVerified email at uni-koeln.de
Nikos ParotsidisGoogleVerified email at google.com
MohammadTaghi HajiaghayiACM Fellow, Jack and Rita Minker Professor of Computer Science, University of Maryland, College ParkVerified email at cs.umd.edu
D. SivakumarTonita.coVerified email at tonita.co
Thomas LavastidaAssistant Professor, Jindal School of Management, University of Texas at DallasVerified email at utdallas.edu

Silvio Lattanzi

Research Scientist at Google

Verified email at google.com - Homepage

Algorithms Data Mining Machine Learning


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On compressing social networks F Chierichetti, R Kumar, S Lattanzi, M Mitzenmacher, A Panconesi, ... Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	419	2009
Fair clustering through fairlets F Chierichetti, R Kumar, S Lattanzi, S Vassilvitskii Advances in neural information processing systems 30, 2017	385	2017
Filtering: a method for solving graph problems in mapreduce S Lattanzi, B Moseley, S Suri, S Vassilvitskii Proceedings of the twenty-third annual ACM symposium on Parallelism in …, 2011	302	2011
An efficient reconciliation algorithm for social networks N Korula, S Lattanzi arXiv preprint arXiv:1307.1690, 2013	292	2013
Rumor spreading in social networks F Chierichetti, S Lattanzi, A Panconesi Theoretical Computer Science 412 (24), 2602-2610, 2011	234	2011
Affiliation networks S Lattanzi, D Sivakumar Proceedings of the forty-first annual ACM symposium on Theory of computing …, 2009	215	2009
Sok: The evolution of sybil defense via social networks L Alvisi, A Clement, A Epasto, S Lattanzi, A Panconesi 2013 ieee symposium on security and privacy, 382-396, 2013	210	2013
Linking users across domains with location data: Theory and validation C Riederer, Y Kim, A Chaintreau, N Korula, S Lattanzi Proceedings of the 25th international conference on world wide web, 707-719, 2016	176	2016
Almost tight bounds for rumour spreading with conductance F Chierichetti, S Lattanzi, A Panconesi Proceedings of the forty-second ACM symposium on Theory of computing, 399-408, 2010	136	2010
Online scheduling via learned weights S Lattanzi, T Lavastida, B Moseley, S Vassilvitskii Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020	129	2020
Efficient densest subgraph computation in evolving graphs A Epasto, S Lattanzi, M Sozio Proceedings of the 24th international conference on world wide web, 300-310, 2015	118	2015
Rumour spreading and graph conductance F Chierichetti, S Lattanzi, A Panconesi Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010	116	2010
Affinity clustering: Hierarchical clustering at scale MH Bateni, S Behnezhad, M Derakhshan, MT Hajiaghayi, R Kiveris, ... Advances in Neural Information Processing Systems 30, 2017	104	2017
A local algorithm for finding well-connected clusters ZA Zhu, S Lattanzi, V Mirrokni International Conference on Machine Learning, 396-404, 2013	96	2013
Submodular streaming in all its glory: Tight approximation, minimum memory and low adaptive complexity E Kazemi, M Mitrovic, M Zadimoghaddam, S Lattanzi, A Karbasi International Conference on Machine Learning, 3311-3320, 2019	86	2019
Connected components in mapreduce and beyond R Kiveris, S Lattanzi, V Mirrokni, V Rastogi, S Vassilvitskii Proceedings of the ACM Symposium on Cloud Computing, 1-13, 2014	83	2014
Distributed balanced clustering via mapping coresets MH Bateni, A Bhaskara, S Lattanzi, V Mirrokni Advances in Neural Information Processing Systems 27, 2014	82	2014
Ego-splitting framework: From non-overlapping to overlapping clusters A Epasto, S Lattanzi, R Paes Leme Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	79	2017
Arrival and departure dynamics in social networks S Wu, A Das Sarma, A Fabrikant, S Lattanzi, A Tomkins Proceedings of the sixth ACM international conference on Web search and data …, 2013	79	2013
On sampling nodes in a network F Chiericetti, A Dasgupta, R Kumar, S Lattanzi, T Sarlós Proceedings of the 25th International Conference on World Wide Web, 471-481, 2016	69	2016

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