24 citations · 24 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts
Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju
As predictive models are increasingly being deployed to make a variety of consequential decisions, there is a growing emphasis on designing algorithms that can provide recourse to…
cs.LG2020★ 24 cited
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
Kaivalya Rawal, Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affect…
cs.SI2019
Maximizing Contrasting Opinions in Signed Social Networks
Kaivalya Rawal, Arijit Khan
The classic influence maximization problem finds a limited number of influential seed users in a social network such that the expected number of influenced users in the network, fo…