58 citations · 163 across the 32 of their papers we have counts for
4 papers · 1 filter
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…
RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank
Tanya Chowdhury, Yair Zick, James Allan
Numerous works propose post-hoc, model-agnostic explanations for learning to rank, focusing on ordering entities by their relevance to a query through feature attribution methods.…
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…
On the Hardness of Fair Allocation under Ternary Valuations
Zack Fitzsimmons, Vignesh Viswanathan, Yair Zick
We study the problem of fair allocation of indivisible items when agents have ternary additive valuations -- each agent values each item at some fixed integer values , , or $…