Baharan Mirzasoleiman

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	All	Since 2016
Citations	1303	1140
h-index	13	13
i10-index	16	14

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201220132014201520162017201820192020202113 24 37 68 134 172 199 296 323 15

Co-authors

Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Amin KarbasiYale UniversityVerified email at yale.edu
Ashwinkumar BadanidiyuruGoogle Research Mountain ViewVerified email at google.com
Mahdi JaliliAssociate Professor at RMIT University, Melbourne, AustraliaVerified email at rmit.edu.au
Mahmoudreza BabaeiPhD student at Max planck for Software SystemsVerified email at mpi-sws.org
Rik SarkarAssistant Professor, University of EdinburghVerified email at inf.ed.ac.uk
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Mohammad Ali SafariSharif University of TechnologyVerified email at sharif.edu
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
Yatao A. BianInstitute for Machine Learning at Computer Science, ETH ZurichVerified email at inf.ethz.ch
Stefanie JegelkaMITVerified email at mit.edu
Morteza ZadimoghaddamGoogle ResearchVerified email at google.com
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Peter BailisSisu DataVerified email at sisudata.com
Matei ZahariaStanford DAWN Lab and DatabricksVerified email at cs.stanford.edu
Yaron SingerHarvard UniversityVerified email at seas.harvard.edu
Eric BalkanskiColumbia UniversityVerified email at columbia.edu
Jeffrey A. BilmesProfessor of Electrical Engineering and Computer Science, University of Washington SeattleVerified email at uw.edu
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSVerified email at mpi-sws.org
Adish SinglaTenure-track Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyVerified email at mpi-sws.org

Baharan Mirzasoleiman

UCLA

Verified email at cs.ucla.edu - Homepage

Machine Learning Data Mining Optimization Approximation Algorithms


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Streaming submodular maximization: Massive data summarization on the fly A Badanidiyuru, B Mirzasoleiman, A Karbasi, A Krause ACM SIGKDD international conference on Knowledge discovery and data mining …, 2014	226	2014
Distributed submodular maximization: Identifying representative elements in massive data B Mirzasoleiman, A Karbasi, R Sarkar, A Krause Advances in Neural Information Processing Systems (NIPS), 2049-2057, 2013	218	2013
Lazier Than Lazy Greedy B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause AAAI Conference on Artificial Intelligence (AAAI), 1812-1818, 2015	215	2015
Cascaded failures in weighted networks B Mirzasoleiman, M Babaei, M Jalili, MA Safari Physical Review E 84 (4), 046114, 2011	156	2011
Guaranteed non-convex optimization: Submodular maximization over continuous domains Y Bian, B Mirzasoleiman, JM Buhmann, A Krause International conference on Artificial Intelligence and Statistics (AISTATS), 2016	91	2016
Fast constrained submodular maximization: Personalized data summarization B Mirzasoleiman, A Badanidiyuru, A Karbasi International Conference on Machine Learning (ICML), 1358-1367, 2016	82	2016
Distributed submodular maximization B Mirzasoleiman, A Karbasi, R Sarkar, A Krause Journal of Machine Learning Research 17 (238), 1−44, 2016	51	2016
Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly B Mirzasoleiman, S Jegelka, A Krause AAAI Conference on Artificial Intelligence (AAAI), 2018	44	2018
Distributed submodular cover: Succinctly summarizing massive data B Mirzasoleiman, A Karbasi, A Badanidiyuru, A Krause Advances in Neural Information Processing Systems (NIPS), 2881-2889, 2015	41	2015
Deletion-Robust Submodular Maximization: Data Summarization with “the Right to be Forgotten” B Mirzasoleiman, A Karbasi, A Krause International Conference on Machine Learning (ICML), 2449-2458, 2017	39	2017
Fast distributed submodular cover: Public-private data summarization B Mirzasoleiman, M Zadimoghaddam, A Karbasi Advances in Neural Information Processing Systems (NIPS), 3594-3602, 2016	37	2016
Learning sparse combinatorial representations via two-stage submodular maximization E Balkanski, B Mirzasoleiman, A Krause, Y Singer International Conference on Machine Learning (ICML), 2207-2216, 2016	20	2016
Revenue maximization in social networks through discounting M Babaei, B Mirzasoleiman, M Jalili, MA Safari Social Network Analysis and Mining 3 (4), 1249-1262, 2013	19	2013
Immunizing complex networks with limited budget B Mirzasoleiman, M Babaei, M Jalili EPL (Europhysics Letters) 98 (3), 38004, 2012	13	2012
Failure tolerance of motif structure in biological networks B Mirzasoleiman, M Jalili PLoS One 6 (5), e20512, 2011	12	2011
Selection via proxy: Efficient data selection for deep learning C Coleman, C Yeh, S Mussmann, B Mirzasoleiman, P Bailis, P Liang, ... International Conference on Learning Representations (ICLR), 2019	11*	2019
Dynamic Network Model from Partial Observations E Ghalebi, B Mirzasoleiman, R Grosu, J Leskovec Advances in Neural Information Processing Systems, 9883-9893, 2018	9	2018
On the fairness of time-critical influence maximization in social networks J Ali, M Babaei, A Chakraborty, B Mirzasoleiman, KP Gummadi, A Singla arXiv preprint arXiv:1905.06618, 2019	6	2019
Coresets for Data-efficient Training of Machine Learning Models B Mirzasoleiman, J Bilmes, J Leskovec International Conference on Machine Learning (ICML), 2020	5*	2020
Big Data Summarization Using Submodular Functions B Mirzasoleiman ETH Zurich, 2017	3	2017

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