6 citations · 16 across the 4 of their papers we have counts for
4 papers · 1 filter
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Dennis Wei, Rahul Nair, Amit Dhurandhar +3
Interpretable and explainable machine learning has seen a recent surge of interest. We focus on safety as a key motivation behind the surge and make the relationship between interp…
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney +1
To ensure trust in AI models, it is becoming increasingly apparent that evaluation of models must be extended beyond traditional performance metrics, like accuracy, to other dimens…
Understanding racial bias in health using the Medical Expenditure Panel Survey data
Moninder Singh, Karthikeyan Natesan Ramamurthy
Over the years, several studies have demonstrated that there exist significant disparities in health indicators in the United States population across various groups. Healthcare ex…
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei +6
Autonomous cyber-physical agents and systems play an increasingly large role in our lives. To ensure that agents behave in ways aligned with the values of the societies in which th…