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What and Who

PhD Defense

Hannaneh Akrami
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1  
AG Audience
English

Date, Time and Location

Thursday, 13 March 2025
15:00
60 Minutes
E1 4
024
Saarbrücken

Abstract

The fair allocation of resources among agents with individual preferences is a fundamental problem at the intersection of computer science, social choice theory, and economics. This dissertation examines scenarios where the resources to be allocated are a set of indivisible goods. Two primary categories of fairness concepts are considered: share-based and envy-based criteria. Each category encompasses desirable notions of fairness, each with distinct advantages and limitations. In the first part of the dissertation, we study a share-based fairness notion known as the maximin share (MMS). Since MMS allocations do not always exist, we study relaxed MMS allocations and establish positive results in various settings. In particular, we establish the existence of (3/4 + 3/3836)-MMS allocations for agents with additive valuations, and (3/13)-MMS allocations for agents with fractionally subadditive

(XOS) valuations.

In addition, we consider ordinal approximations of MMS and prove the existence of 1-out-of-d4n/3e MMS allocations in the additive setting. The second part of the dissertation focuses on envy-based fairness notions. For indivisible items, the most prominent envy-based criterion is envy-freeness up to any item (EFX). Although the existence of EFX
allocations remains open in many general settings, we contribute to this area by proving the existence of EFX allocations for three agents under minimal constraints on their valuations. Furthermore, we establish the existence of relaxed forms of EFX, including epistemic EFX, and approximate EFX with charity.

In the third and final part of this thesis, we move beyond single fairness criteria—whether share-based or envy-based—to establish the existence of allocations that satisfy multiple fairness guarantees. Specifically, we prove the existence of (partial) allocations that are 2/3-MMS and EFX simultaneously. This line of research, while less
established, represents a promising direction for future research.

Contact

Nidhi Rathi
+49 681 9325 1134
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Virtual Meeting Details

Zoom
688 5876 8055
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Nidhi Rathi, 03/12/2025 16:12
Nidhi Rathi, 03/12/2025 16:10 -- Created document.