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Mohamad Latifian

9 accepted papers

2026

Metric Distortion with Preference Intensities

AAAI 2026technical

In voting with ranked ballots each agent submits a strict ranking of the form a > b > c > d over the alternatives, and the voting rule decides on the winner based on these rankings. Although this ballot format has desirable characteristics, there is a question of whether it is expressive enough for

Cited by 0SourcePDFScholar
2025

Optimal Metric Distortion for Matching on the Line

IJCAI 2025

We study the distortion of one-sided and two-sided matching problems on the line. In the one-sided case, n agents need to be matched to n items, and each agent's cost in a matching is their distance from the item they were matched to. We propose an algorithm that is provided only with ordinal inform

Cited by 0SourcePDFScholar
2025

The Distortion of Public-Spirited Participatory Budgeting

AAAI 2025technical

Participatory budgeting (PB) is an increasingly popular tool for democratically allocating limited budgets to public-good projects. In PB, constituents vote on their preferred projects via ballots, and then an aggregation rule selects a set of projects whose total cost fits within the budget. Recent…

Cited by 1SourcePDFScholar
2023

Explainable and Efficient Randomized Voting Rules

NeurIPS 2023poster

With a rapid growth in the deployment of AI tools for making critical decisions (or aiding humans in doing so), there is a growing demand to be able to explain to the stakeholders how these tools arrive at a decision. Consequently, voting is frequently used to make such decisions due to its inherent…

Cited by 6SourcePDFScholar
2021

Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings

AAAI 2021technical

Envy-freeness up to one good (EF1) and envy-freeness up to any good (EFX) are two well-known extensions of envy-freeness for the case of indivisible items. It is shown that EF1 can always be guaranteed for agents with subadditive valuations. In sharp contrast, it is unknown whether or not an EFX all…

Cited by 26SourcePDFScholar