Search Results for author: Lodewijk Gelauff

Found 2 papers, 0 papers with code

Robust Allocations with Diversity Constraints

no code implementations NeurIPS 2021 Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala

We show in a formal sense that the Nash Welfare rule that maximizes product of agent values is uniquely positioned to be robust when diversity constraints are introduced, while almost all other natural allocation rules fail this criterion.

Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates

no code implementations19 Jun 2019 Nikhil Garg, Lodewijk Gelauff, Sukolsak Sakshuwong, Ashish Goel

Each K-Approval or K-partial ranking mechanism (with a corresponding positional scoring rule) induces a learning rate for the speed at which the election correctly recovers the asymptotic outcome.

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