Baharan Mirzasoleiman
Baharan Mirzasoleiman
Verified email at cs.ucla.edu - Homepage
Title
Cited by
Cited by
Year
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
2502014
Lazier Than Lazy Greedy
B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause
AAAI Conference on Artificial Intelligence (AAAI), 1812-1818, 2015
2352015
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
2312013
Cascaded failures in weighted networks
B Mirzasoleiman, M Babaei, M Jalili, MA Safari
Physical Review E 84 (4), 046114, 2011
1642011
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
1042016
Fast constrained submodular maximization: Personalized data summarization
B Mirzasoleiman, A Badanidiyuru, A Karbasi
International Conference on Machine Learning (ICML), 1358-1367, 2016
972016
Distributed submodular maximization
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
Journal of Machine Learning Research 17 (238), 1−44, 2016
542016
Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly
B Mirzasoleiman, S Jegelka, A Krause
AAAI Conference on Artificial Intelligence (AAAI), 2018
532018
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
452017
Fast distributed submodular cover: Public-private data summarization
B Mirzasoleiman, M Zadimoghaddam, A Karbasi
Advances in Neural Information Processing Systems (NIPS), 3594-3602, 2016
432016
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
432015
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
202016
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
192013
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
132012
Failure tolerance of motif structure in biological networks
B Mirzasoleiman, M Jalili
PLoS One 6 (5), e20512, 2011
122011
Dynamic Network Model from Partial Observations
E Ghalebi, B Mirzasoleiman, R Grosu, J Leskovec
Advances in Neural Information Processing Systems, 9883-9893, 2018
112018
Coresets for Data-efficient Training of Machine Learning Models
B Mirzasoleiman, J Bilmes, J Leskovec
International Conference on Machine Learning (ICML), 2020
9*2020
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
8*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
82019
The system can't perform the operation now. Try again later.
Articles 1–20