Search Results for author: Kaivalya Rawal

Found 2 papers, 1 papers with code

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

no code implementations22 Dec 2020 Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju

Our theoretical results establish a lower bound on the probability of recourse invalidation due to model shifts, and show the existence of a tradeoff between this invalidation probability and typical notions of "cost" minimized by modern recourse generation algorithms.

Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

1 code implementation NeurIPS 2020 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 affected individuals.

counterfactual Decision Making

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