activity
20122026
most citedNo-regret learning and mixed Nash equilibria: They do not mix

13 citations · 26 across the 10 of their papers we have counts for

collaborators

12 papers

cs.GT2026

EFX Allocation In (Multi)Hypergraphs

Thanasis Lianeas, Alkmini Sgouritsa, Minas Marios Sotiriou

We study fair allocations of indivisible goods among agents with heterogeneous monotone valuations. As fair we consider the allocations that are envy-free-up-to-any-good (EFX). Fin…

cs.GT2026

Almost EFX in Hypergraphs

Ioannis Kakatelis, Thanasis Lianeas, Alkmini Sgouritsa +1

We study the existence of envy-free-up-to-any-good (EFX) allocations of indivisible goods among agents with heterogeneous monotone valuations. Christodoulou et al. (2023) introduce…

cs.GT2025

Facility Location for Congesting Commuters and Generalizing the Cost-Distance Problem

Thanasis Lianeas, Marios Mertzanidis, Aikaterini Nikolidaki

In Facility Location problems there are agents that should be connected to facilities and locations where facilities may be opened so that agents can connect to them. We depart fro…

cs.LG2020★ 3 cited

Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent

Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras +1

We consider a natural model of online preference aggregation, where sets of preferred items along with a demand for items in each , appear online…

cs.GT2020★ 13 cited

No-regret learning and mixed Nash equilibria: They do not mix

Lampros Flokas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Thanasis Lianeas +2

Understanding the behavior of no-regret dynamics in general -player games is a fundamental question in online learning and game theory. A folk result in the field states that, i…

cs.CC2019

Node Max-Cut and Computing Equilibria in Linear Weighted Congestion Games

Dimitris Fotakis, Vardis Kandiros, Thanasis Lianeas +3

In this work, we seek a more refined understanding of the complexity of local optimum computation for Max-Cut and pure Nash equilibrium (PNE) computation for congestion games with…

math.OC2017

A Submodular Approach for Electricity Distribution Network Reconfiguration

Ali Khodabakhsh, Ger Yang, Soumya Basu +4

Distribution network reconfiguration (DNR) is a tool used by operators to balance line load flows and mitigate losses. As distributed generation and flexible load adoption increase…

cs.GT2017

Reconciling Selfish Routing with Social Good

Soumya Basu, Ger Yang, Thanasis Lianeas +2

Selfish routing is a central problem in algorithmic game theory, with one of the principal applications being that of routing in road networks. Inspired by the emergence of routing…

cs.GT2017

When Does Diversity of User Preferences Improve Outcomes in Selfish Routing?

Richard Cole, Thanasis Lianeas, Evdokia Nikolova

We seek to understand when heterogeneity in user preferences yields improved outcomes in terms of overall cost. That this might be hoped for is based on the common belief that dive…

cs.GT2015★ 10 cited

Asymptotically tight bounds for inefficiency in risk-averse selfish routing

Thanasis Lianeas, Evdokia Nikolova, Nicolas E. Stier-Moses

We consider a nonatomic selfish routing model with independent stochastic travel times, represented by mean and variance latency functions for each edge that depend on their flows.…

cs.GT2015

New Complexity Results and Algorithms for the Minimum Tollbooth Problem

Soumya Basu, Thanasis Lianeas, Evdokia Nikolova

The inefficiency of the Wardrop equilibrium of nonatomic routing games can be eliminated by placing tolls on the edges of a network so that the socially optimal flow is induced as…

cs.GT2012

On the Hardness of Network Design for Bottleneck Routing Games

Dimitris Fotakis, Alexis C. Kaporis, Thanasis Lianeas +1

In routing games, the network performance at equilibrium can be significantly improved if we remove some edges from the network. This counterintuitive fact, widely known as Braess'…