collaborators

5 papers

cs.DS2026

Subexponential Algorithm for High Multiplicity Fair Division of Mixed Instances via Stereometry

Yuriy Dementiev, Fedor Pribytkov, Danil Sagunov

We study the problem of computing an envy-free (EF) allocation of indivisible items among agents when items come in three distinct types. Each agent holds additive valuatio…

cs.DS2026

Learning Augmented Exact Exponential Algorithms

Tatiana Belova, Yuriy Dementiev, Danil Sagunov

The field of learning-augmented algorithms has demonstrated that machine-learned predictions can bypass worst-case lower bounds across a wide range of problems. So far, however, th…

cs.GT2026

Structural Approach to Guiding a Present-Biased Agent

Tatiana Belova, Yuriy Dementiev, Artur Ignatiev +1

Time-inconsistent behavior, such as procrastination or abandonment of long-term goals, arises when agents evaluate immediate outcomes disproportionately higher than future ones. Th…

cs.GT2026

EFX and PO Allocation Exists for Two Types of Goods

Vladimir Davidiuk, Yuriy Dementiev, Artur Ignatiev +1

We study the problem of fairly and efficiently allocating indivisible goods among agents with additive valuations. We focus on envy-freeness up to any good (EFX) -- an important fa…

cs.GT2024

How to guide a present-biased agent through prescribed tasks?

Tatiana Belova, Yuriy Dementiev, Fedor V. Fomin +2

The present bias is a well-documented behavioral trait that significantly influences human decision-making, with present-biased agents often prioritizing immediate rewards over lon…