37 citations · 103 across the 10 of their papers we have counts for
6 papers · 1 filter
Eliminating Latent Discrimination: Train Then Mask
Soheil Ghili, Ehsan Kazemi, Amin Karbasi
How can we control for latent discrimination in predictive models? How can we provably remove it? Such questions are at the heart of algorithmic fairness and its impacts on society…
A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems
Ehsan Kazemi, Liqiang Wang
In this paper, we focus on solving an important class of nonconvex optimization problems which includes many problems for example signal processing over a networked multi-agent sys…
Data Summarization at Scale: A Two-Stage Submodular Approach
Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam +1
The sheer scale of modern datasets has resulted in a dire need for summarization techniques that identify representative elements in a dataset. Fortunately, the vast majority of da…
MPGM: Scalable and Accurate Multiple Network Alignment
Ehsan Kazemi, Matthias Grossglauser
Protein-protein interaction (PPI) network alignment is a canonical operation to transfer biological knowledge among species. The alignment of PPI-networks has many applications, su…
Do Less, Get More: Streaming Submodular Maximization with Subsampling
Moran Feldman, Amin Karbasi, Ehsan Kazemi
In this paper, we develop the first one-pass streaming algorithm for submodular maximization that does not evaluate the entire stream even once. By carefully subsampling each eleme…
Comparison Based Learning from Weak Oracles
Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta +1
There is increasing interest in learning algorithms that involve interaction between human and machine. Comparison-based queries are among the most natural ways to get feedback fro…