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Symeon Mastrakoulis

dblp:399/8798 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Algorithmic game theory and mechanism design · 85% Approximation and online algorithms · 15%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design
fair division
1.922026
Exact and Approximate Maximin Share Allocations in Multi-Graphs · AAAI 2026
Maximin Share Guarantees for Few Agents with Subadditive Valuations · IJCAI 2025
Algorithmic game theory and mechanism design › fair division › share-based fairness
maximin share
1.922026
Exact and Approximate Maximin Share Allocations in Multi-Graphs · AAAI 2026
Maximin Share Guarantees for Few Agents with Subadditive Valuations · IJCAI 2025
Approximation and online algorithms
approximation algorithms
1.012026
Exact and Approximate Maximin Share Allocations in Multi-Graphs · AAAI 2026
Algorithmic game theory and mechanism design › fair division › fair-division mechanisms
approximation algorithms for fair division
1.012026
Exact and Approximate Maximin Share Allocations in Multi-Graphs · AAAI 2026
Algorithmic game theory and mechanism design › auction theory
subadditive valuations
0.912025
Maximin Share Guarantees for Few Agents with Subadditive Valuations · IJCAI 2025

Methods — techniques the papers use, named apart from their topics

approximation algorithm · 1.9
YearPublicationVenuePosition
2026 Exact and Approximate Maximin Share Allocations in Multi-Graphs
abstract
We study the problem of (approximate) maximin share (MMS) allocation of indivisible items among a set of agents. We focus on the graphical valuation model, in which the input is given by a graph where edges correspond to items, and vertices correspond to agents. An edge may have non-zero marginal value only for its incident vertices. We study additive, XOS and subadditive valuations and we present positive and negative results for (approximate) MMS fairness, and also for (approximate) pair-wise maximin share (PMMS) fairness.
George Christodoulou 0001, Symeon Mastrakoulis
AAAI2
2025 Maximin Share Guarantees for Few Agents with Subadditive Valuations
abstract
We study the problem of fairly allocating a set of indivisible items among a set of agents. We consider the notion of (approximate) maximin share (MMS) and we provide an improved lower bound of 1/2 (which is tight) for the case of subadditive valuations when the number of agents is at most four. We also provide a tight lower bound for the case of multiple agents, when they are equipped with one of two possible types of valuations. Moreover, we propose a new model that extends previously studied models in the area of fair division, which will hopefully give rise to further research. We demonstrate the usefulness of this model by employing it as a technical tool to derive our main result, and we provide a thorough analysis for this model for the case of three agents. Finally, we provide an improved impossibility result for the case of three submodular agents.
George Christodoulou 0001, Vasilis Christoforidis, Symeon Mastrakoulis, Alkmini Sgouritsa
IJCAI3