Leximin is a common approach to multi-objective optimization, frequently employed in fair division applications. In leximin optimization, one first aims to maximize the smallest objective value; subject to this, one maximizes the second-smallest objective; and so on. Often, even the single-objective problem of maximizing the smallest value cannot be solved accurately. What can we hope to accomplish for leximin optimization in this situation? Recently, Henzinger et al. (2022) defined a notion of approximate leximin optimality. Their definition, however, considers only an additive approximation. In this work, we first define the notion of approximate leximin optimality, allowing both multiplicative and additive errors. We then show how to compute, in polynomial time, such an approximate leximin solution, using an oracle that finds an approximation to a single-objective problem. The approximation factors of the algorithms are closely related: an (α,ϵ)-approximation for the single-objective problem (where α ∈ (0,1] and ϵ ≥ 0 are the multiplicative and additive factors respectively) translates into an (α2/(1 - α + α2), ϵ/(1 - α + α2))-approximation for the multi-objective leximin problem, regardless of the number of objectives. Finally, we apply our algorithm to obtain an approximate leximin solution for the problem of stochastic allocations of indivisible goods.
|Title of host publication||ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings|
|Editors||Kobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu|
|Publisher||IOS Press BV|
|Number of pages||8|
|State||Published - 28 Sep 2023|
|Event||26th European Conference on Artificial Intelligence, ECAI 2023 - Krakow, Poland|
Duration: 30 Sep 2023 → 4 Oct 2023
|Name||Frontiers in Artificial Intelligence and Applications|
|Conference||26th European Conference on Artificial Intelligence, ECAI 2023|
|Period||30/09/23 → 4/10/23|
Bibliographical notePublisher Copyright:
© 2023 The Authors.