Baharan Mirzasoleiman

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Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
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
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Rik SarkarAssistant Professor, University of EdinburghVerified email at inf.ed.ac.uk
Mohammad Ali SafariSharif University of TechnologyVerified email at sharif.edu
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
Yatao A. BianTencent AI LabVerified email at inf.ethz.ch
Stefanie JegelkaMITVerified email at mit.edu
Morteza ZadimoghaddamResearch Scientist at GoogleVerified 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
Jeffrey A. BilmesProfessor of Electrical Engineering and Computer Science, University of Washington SeattleVerified email at uw.edu
Yaron SingerHarvard UniversityVerified email at seas.harvard.edu
Eric BalkanskiColumbia UniversityVerified email at columbia.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
Mostafa SalehiAssociate Professor, University of TehranVerified email at ut.ac.ir

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	249	2014
Lazier Than Lazy Greedy B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause AAAI Conference on Artificial Intelligence (AAAI), 1812-1818, 2015	233	2015
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	226	2013
Cascaded failures in weighted networks B Mirzasoleiman, M Babaei, M Jalili, MA Safari Physical Review E 84 (4), 046114, 2011	163	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	102	2016
Fast constrained submodular maximization: Personalized data summarization B Mirzasoleiman, A Badanidiyuru, A Karbasi International Conference on Machine Learning (ICML), 1358-1367, 2016	97	2016
Distributed submodular maximization B Mirzasoleiman, A Karbasi, R Sarkar, A Krause Journal of Machine Learning Research 17 (238), 1−44, 2016	54	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	53	2018
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	45	2017
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	42	2015
Fast distributed submodular cover: Public-private data summarization B Mirzasoleiman, M Zadimoghaddam, A Karbasi Advances in Neural Information Processing Systems (NIPS), 3594-3602, 2016	41	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
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	16*	2019
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
Dynamic Network Model from Partial Observations E Ghalebi, B Mirzasoleiman, R Grosu, J Leskovec Advances in Neural Information Processing Systems, 9883-9893, 2018	11	2018
Coresets for Data-efficient Training of Machine Learning Models B Mirzasoleiman, J Bilmes, J Leskovec International Conference on Machine Learning (ICML), 2020	9*	2020
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	8	2019
Coresets for Robust Training of Deep Neural Networks against Noisy Labels B Mirzasoleiman, K Cao, J Leskovec Advances in Neural Information Processing Systems 33, 2020	6*	2020

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