Ehsan Kazemi | DeepAI

DeepAI AI Chat

Featured Co-authors

Andreas Krause
171 publications
Lin Chen
90 publications
Amin Karbasi
75 publications
Shervin Minaee
48 publications
Robert M. Kirby
39 publications
Liqiang Wang
29 publications
Reza Shokri
28 publications
Silvio Lattanzi
28 publications
Sanjoy Dasgupta
27 publications
Hui Xu
27 publications
Moran Feldman
26 publications

∙ 07/22/2022

Complementing Semi-Supervised Learning with Uncertainty Quantification

The problem of fully supervised classification is that it requires a tre...

0 Ehsan Kazemi, et al. ∙

∙ 12/03/2021

CTIN: Robust Contextual Transformer Network for Inertial Navigation

Recently, data-driven inertial navigation approaches have demonstrated t...

0 Bingbing Rao, et al. ∙

∙ 04/06/2021

The Power of Subsampling in Submodular Maximization

We propose subsampling as a unified algorithmic technique for submodular...

0 Christopher Harshaw, et al. ∙

∙ 02/15/2021

Generating Structured Adversarial Attacks Using Frank-Wolfe Method

White box adversarial perturbations are generated via iterative optimiza...

0 Ehsan Kazemi, et al. ∙

∙ 07/02/2020

Trace-Norm Adversarial Examples

White box adversarial perturbations are sought via iterative optimizatio...

0 Ehsan Kazemi, et al. ∙

∙ 06/15/2020

On Adversarial Bias and the Robustness of Fair Machine Learning

Optimizing prediction accuracy can come at the expense of fairness. Towa...

0 Hongyan Chang, et al. ∙

∙ 02/10/2020

Submodular Maximization Through Barrier Functions

In this paper, we introduce a novel technique for constrained submodular...

9 Ashwinkumar Badanidiyuru, et al. ∙

∙ 02/10/2020

Regularized Submodular Maximization at Scale

In this paper, we propose scalable methods for maximizing a regularized ...

11 Ehsan Kazemi, et al. ∙

∙ 02/09/2020

Streaming Submodular Maximization under a k-Set System Constraint

In this paper, we propose a novel framework that converts streaming algo...

0 Ran Haba, et al. ∙

∙ 06/08/2019

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...

0 David Moxey, et al. ∙

∙ 05/02/2019

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...

4 Ehsan Kazemi, et al. ∙

∙ 02/15/2019

Adaptive Sequence Submodularity

In many machine learning applications, one needs to interactively select...

8 Marko Mitrovic, et al. ∙

∙ 02/05/2019

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

Nonconvex and nonsmooth problems have recently attracted considerable at...

0 Ehsan Kazemi, et al. ∙

∙ 11/12/2018

Eliminating Latent Discrimination: Train Then Mask

How can we control for latent discrimination in predictive models? How c...

2 Soheil Ghili, et al. ∙

∙ 10/17/2018

A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems

In this paper, we focus on solving an important class of nonconvex optim...

0 Ehsan Kazemi, et al. ∙

∙ 06/07/2018

Data Summarization at Scale: A Two-Stage Submodular Approach

The sheer scale of modern datasets has resulted in a dire need for summa...

0 Marko Mitrovic, et al. ∙

∙ 04/26/2018

MPGM: Scalable and Accurate Multiple Network Alignment

Protein-protein interaction (PPI) network alignment is a canonical opera...

0 Ehsan Kazemi, et al. ∙

∙ 02/20/2018

Do Less, Get More: Streaming Submodular Maximization with Subsampling

In this paper, we develop the first one-pass streaming algorithm for sub...

0 Moran Feldman, et al. ∙

∙ 02/20/2018

Comparison Based Learning from Weak Oracles

There is increasing interest in learning algorithms that involve interac...

0 Ehsan Kazemi, et al. ∙

∙ 11/20/2017

Deletion-Robust Submodular Maximization at Scale

Can we efficiently extract useful information from a large user-generate...

0 Ehsan Kazemi, et al. ∙