Ehsan Kazemi

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Generating Structured Adversarial Attacks Using Frank-Wolfe Method

White box adversarial perturbations are generated via iterative optimiza...
02/15/2021 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

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Trace-Norm Adversarial Examples

White box adversarial perturbations are sought via iterative optimizatio...
07/02/2020 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

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On Adversarial Bias and the Robustness of Fair Machine Learning

Optimizing prediction accuracy can come at the expense of fairness. Towa...
06/15/2020 ∙ by Hongyan Chang, et al. ∙ 0 ∙ share

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Submodular Maximization Through Barrier Functions

In this paper, we introduce a novel technique for constrained submodular...
02/10/2020 ∙ by Ashwinkumar Badanidiyuru, et al. ∙ 9 ∙ share

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Regularized Submodular Maximization at Scale

In this paper, we propose scalable methods for maximizing a regularized ...
02/10/2020 ∙ by Ehsan Kazemi, et al. ∙ 11 ∙ share

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Streaming Submodular Maximization under a k-Set System Constraint

In this paper, we propose a novel framework that converts streaming algo...
02/09/2020 ∙ by Ran Haba, et al. ∙ 0 ∙ share

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Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods

Nektar++ is an open-source framework that provides a flexible, high-perf...
06/08/2019 ∙ by David Moxey, et al. ∙ 0 ∙ share

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Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity

Streaming algorithms are generally judged by the quality of their soluti...
05/02/2019 ∙ by Ehsan Kazemi, et al. ∙ 4 ∙ share

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Adaptive Sequence Submodularity

In many machine learning applications, one needs to interactively select...
02/15/2019 ∙ by Marko Mitrovic, et al. ∙ 8 ∙ share

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Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems

Nonconvex and nonsmooth problems have recently attracted considerable at...
02/05/2019 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

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Eliminating Latent Discrimination: Train Then Mask

How can we control for latent discrimination in predictive models? How c...
11/12/2018 ∙ by Soheil Ghili, et al. ∙ 2 ∙ share

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A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems

In this paper, we focus on solving an important class of nonconvex optim...
10/17/2018 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

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Data Summarization at Scale: A Two-Stage Submodular Approach

The sheer scale of modern datasets has resulted in a dire need for summa...
06/07/2018 ∙ by Marko Mitrovic, et al. ∙ 0 ∙ share

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MPGM: Scalable and Accurate Multiple Network Alignment

Protein-protein interaction (PPI) network alignment is a canonical opera...
04/26/2018 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

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Do Less, Get More: Streaming Submodular Maximization with Subsampling

In this paper, we develop the first one-pass streaming algorithm for sub...
02/20/2018 ∙ by Moran Feldman, et al. ∙ 0 ∙ share

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Comparison Based Learning from Weak Oracles

There is increasing interest in learning algorithms that involve interac...
02/20/2018 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

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Deletion-Robust Submodular Maximization at Scale

Can we efficiently extract useful information from a large user-generate...
11/20/2017 ∙ by Ehsan Kazemi, et al. ∙ 0 ∙ share

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Ehsan Kazemi

Featured Co-authors

Andreas Krause

Lin Chen

Amin Karbasi

Shervin Minaee

Liqiang Wang

Sanjoy Dasgupta

Reza Shokri

Silvio Lattanzi

Moran Feldman

Robert M. Kirby

Hui Xu

Generating Structured Adversarial Attacks Using Frank-Wolfe Method

Trace-Norm Adversarial Examples

On Adversarial Bias and the Robustness of Fair Machine Learning

Submodular Maximization Through Barrier Functions

Regularized Submodular Maximization at Scale

Streaming Submodular Maximization under a k-Set System Constraint

Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods

Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity

Adaptive Sequence Submodularity

Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems

Eliminating Latent Discrimination: Train Then Mask

A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems

Data Summarization at Scale: A Two-Stage Submodular Approach

MPGM: Scalable and Accurate Multiple Network Alignment

Do Less, Get More: Streaming Submodular Maximization with Subsampling

Comparison Based Learning from Weak Oracles

Deletion-Robust Submodular Maximization at Scale