most citedAn End-To-End Machine Learning Pipeline That Ensures Fairness Policies

8 citations · 8 across the 2 of their papers we have counts for

collaborators

4 papers

stat.ML2017

Distribution-Preserving k-Anonymity

Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

Preserving the privacy of individuals by protecting their sensitive attributes is an important consideration during microdata release. However, it is equally important to preserve…

cs.CY2017★ 8 cited

An End-To-End Machine Learning Pipeline That Ensures Fairness Policies

Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta +3

In consequential real-world applications, machine learning (ML) based systems are expected to provide fair and non-discriminatory decisions on candidates from groups defined by pro…

stat.ML2016

Interpretable Two-level Boolean Rule Learning for Classification

Guolong Su, Dennis Wei, Kush R. Varshney +1

As a contribution to interpretable machine learning research, we develop a novel optimization framework for learning accurate and sparse two-level Boolean rules. We consider rules…

cs.LG2016

A Constant-Factor Bi-Criteria Approximation Guarantee for -means++

Dennis Wei

This paper studies the -means++ algorithm for clustering as well as the class of sampling algorithms to which -means++ belongs. It is shown that for any constant fac…