Ehsan Kazemi

Orcid: 0000-0001-8427-054X

Affiliations:
  • Yale University


According to our database1, Ehsan Kazemi authored at least 24 papers between 2013 and 2022.

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Bibliography

2022
The Power of Subsampling in Submodular Maximization.
Math. Oper. Res., 2022

Submodular Maximization in Clean Linear Time.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Regularized Submodular Maximization at Scale.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
MPGM: Scalable and Accurate Multiple Network Alignment.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

On Adversarial Bias and the Robustness of Fair Machine Learning.
CoRR, 2020

Submodular Maximization Through Barrier Functions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Streaming Submodular Maximization under a k-Set System Constraint.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization.
npj Digit. Medicine, 2019

Adaptive Sequence Submodularity.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity.
Proceedings of the 36th International Conference on Machine Learning, 2019

Eliminating Latent Discrimination: Train Then Mask.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Do Less, Get More: Streaming Submodular Maximization with Subsampling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data Summarization at Scale: A Two-Stage Submodular Approach.
Proceedings of the 35th International Conference on Machine Learning, 2018

Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints.
Proceedings of the 35th International Conference on Machine Learning, 2018

Comparison Based Learning from Weak Oracles.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Deletion-Robust Submodular Maximization at Scale.
CoRR, 2017

2016
Network Alignment: Theory, Algorithms, and Applications.
PhD thesis, 2016

On the Structure and Efficient Computation of IsoRank Node Similarities.
CoRR, 2016

PROPER: global protein interaction network alignment through percolation matching.
BMC Bioinform., 2016

2015
Growing a Graph Matching from a Handful of Seeds.
Proc. VLDB Endow., 2015

When can two unlabeled networks be aligned under partial overlap?
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Hiding in the Mobile Crowd: LocationPrivacy through Collaboration.
IEEE Trans. Dependable Secur. Comput., 2014

2013
Where to go from here? Mobility prediction from instantaneous information.
Pervasive Mob. Comput., 2013

Mitigating Epidemics through Mobile Micro-measures.
CoRR, 2013


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