activity
20152026
most citedApproximation Algorithms for Computing Maximin Share Allocations

128 citations · 451 across the 30 of their papers we have counts for

collaborators

35 papers

cs.GT2026

Improved Approximation Guarantees for Groupwise Maximin Share Fairness

Georgios Amanatidis, Anna Korfiati, Evangelos Markakis +1

We study the problem of fairly allocating a set of indivisible goods to a set of agents with additive valuation functions. We focus on the very demanding notion of \textit{grou…

cs.GT2026

Online Fair Division Meets Reordering Buffers

Georgios Amanatidis, Giulio Giaconi, Evangelos Markakis +1

We study the online fair division of indivisible mixed manna among agents with additive valuation functions. Under the standard online model, at each time step an indivisible item…

cs.GT2026

Envy Cycle Elimination with Strategic Agents: Best Responses and Fairness Guarantees

Georgios Amanatidis, Georgios Birmpas, Rebecca Reiffenhäuser

With strong evidence in the literature showing that fairness and truthfulness are incompatible, there is a recent line of work focusing on the fairness properties of equilibria of…

cs.GT2025

Online Fair Division for Personalized -Value Instances

Georgios Amanatidis, Alexandros Lolos, Evangelos Markakis +1

We study an online fair division setting, where goods arrive one at a time and there is a fixed set of agents, each of whom has an additive valuation function over the goods. O…

cs.GT2025

Online Budget-Feasible Mechanism Design with Predictions

Georgios Amanatidis, Evangelos Markakis, Christodoulos Santorinaios +3

Augmenting the input of algorithms with predictions is an algorithm design paradigm that suggests leveraging a (possibly erroneous) prediction to improve worst-case performance gua…

cs.GT2024

On the Tractability Landscape of the Conditional Minisum Approval Voting Rule

Georgios Amanatidis, Michael Lampis, Evangelos Markakis +1

This work examines the Conditional Approval Framework for elections involving multiple interdependent issues, specifically focusing on the Conditional Minisum Approval Voting Rule.…

cs.GT2024

Pandora's Box Problem With Time Constraints

Georgios Amanatidis, Ben Berger, Tomer Ezra +4

The Pandora's Box problem models the search for the best alternative when evaluation is costly. In the simplest variant, a decision maker is presented with boxes, each associat…

cs.GT2024★ 1 cited

Pushing the Frontier on Approximate EFX Allocations

Georgios Amanatidis, Aris Filos-Ratsikas, Alkmini Sgouritsa

We study the problem of allocating a set of indivisible goods to a set of agents with additive valuation functions, aiming to achieve approximate envy-freeness up to any good (-…

cs.GT2024

Metric Distortion under Group-Fair Objectives

Georgios Amanatidis, Elliot Anshelevich, Christopher Jerrett +1

We consider a voting problem in which a set of agents have metric preferences over a set of alternatives, and are also partitioned into disjoint groups. Given information about the…

cs.DS2024

Algorithmically Fair Maximization of Multiple Submodular Objective Functions and Implications to Constrained Fair Division

Georgios Amanatidis, Georgios Birmpas, Philip Lazos +2

Constrained maximization of submodular functions is a central problem in combinatorial optimization. In many realistic scenarios, multiple agents each need to maximize their own su…

cs.GT2023

On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes

Georgios Amanatidis, Aris Filos-Ratsikas, Philip Lazos +2

We study elections where voters are faced with the challenge of expressing preferences over an extreme number of issues under consideration. This is largely motivated by emerging b…

cs.GT2023

Partial Allocations in Budget-Feasible Mechanism Design: Bridging Multiple Levels of Service and Divisible Agents

Georgios Amanatidis, Sophie Klumper, Evangelos Markakis +2

Budget-feasible procurement has been a major paradigm in mechanism design since its introduction by Singer (2010). An auctioneer (buyer) with a strict budget constraint is interest…

cs.GT2023★ 1 cited

Round-Robin Beyond Additive Agents: Existence and Fairness of Approximate Equilibria

Georgios Amanatidis, Georgios Birmpas, Philip Lazos +2

Fair allocation of indivisible goods has attracted extensive attention over the last two decades, yielding numerous elegant algorithmic results and producing challenging open quest…

cs.GT2022★ 93 cited

Fair Division of Indivisible Goods: Recent Progress and Open Questions

Georgios Amanatidis, Haris Aziz, Georgios Birmpas +5

Allocating resources to individuals in a fair manner has been a topic of interest since ancient times, with most of the early mathematical work on the problem focusing on resources…

cs.GT2022

Decentralised Update Selection with Semi-Strategic Experts

Georgios Amanatidis, Georgios Birmpas, Philip Lazos +1

Motivated by governance models adopted in blockchain applications, we study the problem of selecting appropriate system updates in a decentralised way. Contrary to most existing vo…

cs.GT2022

Fair Division of Indivisible Goods: A Survey

Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas +1

Allocating resources to individuals in a fair manner has been a topic of interest since the ancient times, with most of the early rigorous mathematical work on the problem focusing…

cs.DM2021

Approximate Sampling and Counting of Graphs with Near-Regular Degree Intervals

Georgios Amanatidis, Pieter Kleer

The approximate uniform sampling of graphs with a given degree sequence is a well-known, extensively studied problem in theoretical computer science and has significant application…

cs.GT2021★ 5 cited

Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness

Georgios Amanatidis, Georgios Birmpas, Federico Fusco +3

We consider the problem of fairly allocating a set of indivisible goods to a set of strategic agents with additive valuation functions. We assume no monetary transfers and, therefo…

cs.DS2021

Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity

Georgios Amanatidis, Federico Fusco, Philip Lazos +3

Submodular maximization is a classic algorithmic problem with multiple applications in data mining and machine learning; there, the growing need to deal with massive instances moti…

cs.GT2020

A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching

Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas +1

We consider the one-sided matching problem, where n agents have preferences over n items, and these preferences are induced by underlying cardinal valuation functions. The goal is…

cs.DS2020★ 22 cited

Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint

Georgios Amanatidis, Federico Fusco, Philip Lazos +2

Constrained submodular maximization problems encompass a wide variety of applications, including personalized recommendation, team formation, and revenue maximization via viral mar…

cs.GT2020★ 53 cited

Maximum Nash Welfare and Other Stories About EFX

Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas +2

We consider the classic problem of fairly allocating indivisible goods among agents with additive valuation functions and explore the connection between two prominent fairness noti…

cs.GT2019★ 60 cited

Multiple Birds with One Stone: Beating for EFX and GMMS via Envy Cycle Elimination

Georgios Amanatidis, Apostolos Ntokos, Evangelos Markakis

Several relaxations of envy-freeness, tailored to fair division in settings with indivisible goods, have been introduced within the last decade. Due to the lack of general existenc…

cs.GT2019

Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries

Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas +1

Aggregating the preferences of individuals into a collective decision is the core subject of study of social choice theory. In 2006, Procaccia and Rosenschein considered a utilitar…