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Baharan Mirzasoleiman
Tytuł
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Lazier Than Lazy Greedy
B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause
AAAI Conference on Artificial Intelligence (AAAI), 1812-1818, 2015
4442015
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
4122014
Coresets for Data-efficient Training of Machine Learning Models
B Mirzasoleiman, J Bilmes, J Leskovec
International Conference on Machine Learning (ICML), 2020
3912020
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
3492020
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
3132013
Cascaded failures in weighted networks
B Mirzasoleiman, M Babaei, M Jalili, MA Safari
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (4 …, 2011
1982011
Fast constrained submodular maximization: Personalized data summarization
B Mirzasoleiman, A Badanidiyuru, A Karbasi
International Conference on Machine Learning (ICML), 1358-1367, 2016
1842016
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
1742016
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
1392020
Distributed submodular maximization
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
Journal of Machine Learning Research 17 (238), 1−44, 2016
1002016
Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly
B Mirzasoleiman, S Jegelka, A Krause
AAAI Conference on Artificial Intelligence (AAAI), 2018
922018
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
912017
Fast distributed submodular cover: Public-private data summarization
B Mirzasoleiman, M Zadimoghaddam, A Karbasi
Advances in Neural Information Processing Systems (NIPS), 3594-3602, 2016
752016
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
702015
Adaptive second order coresets for data-efficient machine learning
O Pooladzandi, D Davini, B Mirzasoleiman
International Conference on Machine Learning (ICML), 17848-17869, 2022
672022
On the fairness of time-critical influence maximization in social networks
J Ali, M Babaei, A Chakraborty, B Mirzasoleiman, KP Gummadi, A Singla
Transactions on Knowledge and Data Engineering (TKDE), 1541-1542, 2021
642021
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise
Y Xue, K Whitecross, B Mirzasoleiman
International Conference on Machine Learning (ICML), 2022
542022
CrossWalk: Fairness-enhanced Node Representation Learning
A Khajehnejad, M Khajehnejad, M Babaei, KP Gummadi, A Weller, ...
AAAI Conference on Artificial Intelligence (AAAI), 2021
542021
Not all poisons are created equal: Robust training against data poisoning
Y Yang, TY Liu, B Mirzasoleiman
International Conference on Machine Learning (ICML), 25154-25165, 2022
402022
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
372016
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