7 citations · 7 across the 1 of their papers we have counts for
2 papers
stat.ML2021
Bias, Fairness, and Accountability with AI and ML Algorithms
Nengfeng Zhou, Zach Zhang, Vijayan N. Nair +3
The advent of AI and ML algorithms has led to opportunities as well as challenges. In this paper, we provide an overview of bias and fairness issues that arise with the use of ML a…
stat.AP2010★ 7 cited
Optimal experiment design in a filtering context with application to sampled network data
Harsh Singhal, George Michailidis
We examine the problem of optimal design in the context of filtering multiple random walks. Specifically, we define the steady state E-optimal design criterion and show that the un…