Baharan Mirzasoleiman

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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
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Mahmoudreza BabaeiPostdoctoral researcher at Max Planck Institute for Human Development in the CHM groupVerified email at mpib-berlin.mpg.de
Mahdi JaliliAssociate Professor at RMIT University, Melbourne, AustraliaVerified email at rmit.edu.au
Rik SarkarAssistant Professor, University of EdinburghVerified email at inf.ed.ac.uk
Mohammad Ali SafariSharif University of TechnologyVerified email at sharif.edu
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
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
Krishna P. GummadiHead, Networked Systems Group, MPI-SWSVerified email at mpi-sws.org
Yaron SingerHarvard UniversityVerified email at seas.harvard.edu
Eric BalkanskiColumbia UniversityVerified email at columbia.edu
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	296	2014
Lazier Than Lazy Greedy B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause AAAI Conference on Artificial Intelligence (AAAI), 1812-1818, 2015	294	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	246	2013
Cascaded failures in weighted networks B Mirzasoleiman, M Babaei, M Jalili, MA Safari Physical Review E 84 (4), 046114, 2011	177	2011
Fast constrained submodular maximization: Personalized data summarization B Mirzasoleiman, A Badanidiyuru, A Karbasi International Conference on Machine Learning (ICML), 1358-1367, 2016	113	2016
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	112	2016
Distributed submodular maximization B Mirzasoleiman, A Karbasi, R Sarkar, A Krause Journal of Machine Learning Research 17 (238), 1−44, 2016	72	2016
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), 2020	66	2020
Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly B Mirzasoleiman, S Jegelka, A Krause AAAI Conference on Artificial Intelligence (AAAI), 2018	62	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	54	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	53	2016
Coresets for Data-efficient Training of Machine Learning Models B Mirzasoleiman, J Bilmes, J Leskovec International Conference on Machine Learning (ICML), 2020	52	2020
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	43	2015
Coresets for robust training of deep neural networks against noisy labels B Mirzasoleiman, K Cao, J Leskovec Advances in Neural Information Processing Systems 33, 11465-11477, 2020	31	2020
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	24	2013
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	23	2016
Immunizing complex networks with limited budget B Mirzasoleiman, M Babaei, M Jalili EPL (Europhysics Letters) 98 (3), 38004, 2012	16	2012
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	15	2019
Failure tolerance of motif structure in biological networks B Mirzasoleiman, M Jalili PLoS One 6 (5), e20512, 2011	14	2011
Dynamic Network Model from Partial Observations E Ghalebi, B Mirzasoleiman, R Grosu, J Leskovec Advances in Neural Information Processing Systems, 9883-9893, 2018	13	2018

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