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Ehsan Kazemi 0001
Person information
- affiliation: Yale University
Other persons with the same name
- Ehsan Kazemi 0002 — Yonsei University, South Korea
- Ehsan Kazemi 0003 — University of Central Florida, Orlando, FL, USA
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2020 – today
- 2022
- [j7]Christopher Harshaw, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
The Power of Subsampling in Submodular Maximization. Math. Oper. Res. 47(2): 1365-1393 (2022) - [c12]Wenxin Li, Moran Feldman, Ehsan Kazemi, Amin Karbasi:
Submodular Maximization in Clean Linear Time. NeurIPS 2022 - 2021
- [c11]Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi:
Regularized Submodular Maximization at Scale. ICML 2021: 5356-5366 - [i15]Christopher Harshaw, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
The Power of Subsampling in Submodular Maximization. CoRR abs/2104.02772 (2021) - 2020
- [j6]Ehsan Kazemi, Matthias Grossglauser:
MPGM: Scalable and Accurate Multiple Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2040-2052 (2020) - [c10]Ran Haba, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
Streaming Submodular Maximization under a k-Set System Constraint. ICML 2020: 3939-3949 - [c9]Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrák:
Submodular Maximization Through Barrier Functions. NeurIPS 2020 - [i14]Ran Haba, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
Streaming Submodular Maximization under a k-Set System Constraint. CoRR abs/2002.03352 (2020) - [i13]Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi:
Regularized Submodular Maximization at Scale. CoRR abs/2002.03503 (2020) - [i12]Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrák:
Submodular Maximization Through Barrier Functions. CoRR abs/2002.03523 (2020) - [i11]Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri:
On Adversarial Bias and the Robustness of Fair Machine Learning. CoRR abs/2006.08669 (2020)
2010 – 2019
- 2019
- [j5]Pegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, Jonas Malmsten, Marco Toschi, Pantelis Zisimopoulos, Alexandros Sigaras, Stuart Lavery, Lee A. D. Cooper, Cristina Hickman, Marcos Meseguer, Zev Rosenwaks, Olivier Elemento, Nikica Zaninovic, Iman Hajirasouliha:
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. npj Digit. Medicine 2 (2019) - [c8]Soheil Ghili, Ehsan Kazemi, Amin Karbasi:
Eliminating Latent Discrimination: Train Then Mask. AAAI 2019: 3672-3680 - [c7]Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi:
Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. ICML 2019: 3311-3320 - [c6]Marko Mitrovic, Ehsan Kazemi, Moran Feldman, Andreas Krause, Amin Karbasi:
Adaptive Sequence Submodularity. NeurIPS 2019: 5353-5364 - [i10]Marko Mitrovic, Ehsan Kazemi, Moran Feldman, Andreas Krause, Amin Karbasi:
Adaptive Sequence Submodularity. CoRR abs/1902.05981 (2019) - [i9]Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi:
Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. CoRR abs/1905.00948 (2019) - 2018
- [c5]Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi:
Comparison Based Learning from Weak Oracles. AISTATS 2018: 1849-1858 - [c4]Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi:
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints. ICML 2018: 2549-2558 - [c3]Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi:
Data Summarization at Scale: A Two-Stage Submodular Approach. ICML 2018: 3593-3602 - [c2]Moran Feldman, Amin Karbasi, Ehsan Kazemi:
Do Less, Get More: Streaming Submodular Maximization with Subsampling. NeurIPS 2018: 730-740 - [i8]Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi:
Comparison Based Learning from Weak Oracles. CoRR abs/1802.06942 (2018) - [i7]Moran Feldman, Amin Karbasi, Ehsan Kazemi:
Do Less, Get More: Streaming Submodular Maximization with Subsampling. CoRR abs/1802.07098 (2018) - [i6]Ehsan Kazemi, Matthias Grossglauser:
MPGM: Scalable and Accurate Multiple Network Alignment. CoRR abs/1804.10029 (2018) - [i5]Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi:
Data Summarization at Scale: A Two-Stage Submodular Approach. CoRR abs/1806.02815 (2018) - [i4]Soheil Ghili, Ehsan Kazemi, Amin Karbasi:
Eliminating Latent Discrimination: Train Then Mask. CoRR abs/1811.04973 (2018) - 2017
- [i3]Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi:
Deletion-Robust Submodular Maximization at Scale. CoRR abs/1711.07112 (2017) - 2016
- [b1]Ehsan Kazemi:
Network Alignment: Theory, Algorithms, and Applications. EPFL, Switzerland, 2016 - [j4]Ehsan Kazemi, Seyed Hamed Hassani, Matthias Grossglauser, Hassan Pezeshgi Modarres:
PROPER: global protein interaction network alignment through percolation matching. BMC Bioinform. 17: 527:1-527:16 (2016) - [i2]Ehsan Kazemi, Matthias Grossglauser:
On the Structure and Efficient Computation of IsoRank Node Similarities. CoRR abs/1602.00668 (2016) - 2015
- [j3]Ehsan Kazemi, Seyed Hamed Hassani, Matthias Grossglauser:
Growing a Graph Matching from a Handful of Seeds. Proc. VLDB Endow. 8(10): 1010-1021 (2015) - [c1]Ehsan Kazemi, Lyudmila Yartseva, Matthias Grossglauser:
When can two unlabeled networks be aligned under partial overlap? Allerton 2015: 33-42 - 2014
- [j2]Reza Shokri, George Theodorakopoulos, Panos Papadimitratos, Ehsan Kazemi, Jean-Pierre Hubaux:
Hiding in the Mobile Crowd: LocationPrivacy through Collaboration. IEEE Trans. Dependable Secur. Comput. 11(3): 266-279 (2014) - 2013
- [j1]Vincent Etter, Mohamed Kafsi, Ehsan Kazemi, Matthias Grossglauser, Patrick Thiran:
Where to go from here? Mobility prediction from instantaneous information. Pervasive Mob. Comput. 9(6): 784-797 (2013) - [i1]Mohamed Kafsi, Ehsan Kazemi, Lucas Maystre, Lyudmila Yartseva, Matthias Grossglauser, Patrick Thiran:
Mitigating Epidemics through Mobile Micro-measures. CoRR abs/1307.2084 (2013)
Coauthor Index
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