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Matthias Greger

dblp:319/4860 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
0000-0002-3584-8656ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 3 since 2021Theory of computation · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 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
3 papers
Algorithmic game theory and mechanism design · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design
fair division
1.722026
Settling the score: Portioning with cardinal preferences · Artif. Intell. 2026
Balanced Donor Coordination · EC 2023
Algorithmic game theory and mechanism design
social choice
1.422024
Optimal Budget Aggregation with Single-Peaked Preferences · EC 2024
Balanced Donor Coordination · EC 2023
Algorithmic game theory and mechanism design › social choice › participatory budgeting
budget aggregation
0.812024
Optimal Budget Aggregation with Single-Peaked Preferences · EC 2024
Algorithmic game theory and mechanism design › social choice
participatory budgeting
0.812024
Optimal Budget Aggregation with Single-Peaked Preferences · EC 2024
Algorithmic game theory and mechanism design › social choice › restricted preference domains
single-peaked preferences
0.812024
Optimal Budget Aggregation with Single-Peaked Preferences · EC 2024
Algorithmic game theory and mechanism design › mechanism design › incentive compatibility
strategyproofness
0.812024
Optimal Budget Aggregation with Single-Peaked Preferences · EC 2024
Algorithmic game theory and mechanism design › social choice
preference aggregation
0.712023
Balanced Donor Coordination · EC 2023
Algorithmic game theory and mechanism design
resource allocation
0.712023
Balanced Donor Coordination · EC 2023

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

star-shaped utility · 0.8nash product · 0.8impossibility result · 0.8mechanism design · 0.7
YearPublicationVenuePosition
2026 Settling the score: Portioning with cardinal preferences
Edith Elkind, Matthias Greger, Patrick Lederer, Warut Suksompong, Nicholas Teh
Artif. Intell.2
2024 Optimal Budget Aggregation with Single-Peaked Preferences
abstract
We study the problem of aggregating distributions, such as budget proposals, into a collective distribution. An ideal aggregation mechanism would be Pareto efficient, strategyproof, and fair. Most previous work assumes that agents evaluate budgets according to the l1 distance to their ideal budget. We investigate and compare different models from the larger class of star-shaped utility functions---a multi-dimensional generalization of single-peaked preferences. For the case of two alternatives, we extend existing results by proving that under very general assumptions, the uniform phantom mechanism is the only strategyproof mechanism that satisfies proportionality---a minimal notion of fairness introduced by Freeman et al. [2021]. Moving to the case of more than two alternatives, we establish sweeping impossibilities for l1 and l∞ disutilities: no mechanism satisfies efficiency, strategyproofness, and proportionality. We then propose a new kind of star-shaped utilities based on evaluating budgets by the ratios of shares between a given budget and an ideal budget. For these utilities, efficiency, strategyproofness, and fairness become compatible. In particular, we prove that the mechanism that maximizes the Nash product of individual utilities is characterized by group-strategyproofness and a core-based fairness condition.
Felix Brandt 0001, Matthias Greger, Erel Segal-Halevi, Warut Suksompong
EC2
2023 Balanced Donor Coordination
abstract
Charity is typically done either by individual donors, who donate money to the charities that they support, or by centralized organizations such as governments or municipalities, which collect the individual contributions and distribute them among a set of charities. On the one hand, individual charity respects the will of the donors but may be inefficient due to a lack of coordination. On the other hand, centralized charity is potentially more efficient but may ignore the will of individual donors.
Felix Brandt 0001, Matthias Greger, Erel Segal-Halevi, Warut Suksompong
EC2
2021 Funding Public Projects: A Case for the Nash Product Rule
Florian Brandl, Felix Brandt 0001, Matthias Greger, Dominik Peters, Christian Stricker 0001, Warut Suksompong
WINE3