3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.GT2024
Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty
Elita Lobo, Justin Payan, Cyrus Cousins +1
We study fair allocation of constrained resources, where a market designer optimizes overall welfare while maintaining group fairness. In many large-scale settings, utilities are n…
cs.LG2024★ 2 cited
Percentile Criterion Optimization in Offline Reinforcement Learning
Elita A. Lobo, Cyrus Cousins, Yair Zick +1
In reinforcement learning, robust policies for high-stakes decision-making problems with limited data are usually computed by optimizing the \emph{percentile criterion}. The percen…
cs.AI2023★ 3 cited
Axiomatic Aggregations of Abductive Explanations
Gagan Biradar, Yacine Izza, Elita Lobo +2
The recent criticisms of the robustness of post hoc model approximation explanation methods (like LIME and SHAP) have led to the rise of model-precise abductive explanations. For e…