We revisit the classic problem of fair division from a mechanism design perspective, using Proportional Fairness as a benchmark. In particular, we aim to allocate a collection of divisible items to a set of agents while incentivizing the agents to be truthful in reporting their valuations. For the very large class of homo-geneous valuations, we design a truthful mechanism that provides every agent with at least a 1/e â\u89\u88 0.368 fraction of her Proportionally Fair valuation. To complement this result, we show that no truthful mecha-nism can guarantee more than a 0.5 fraction, even for the restricted class of additive linear valuations. We also propose another mechanism for additive linear valuations that works really well when every ite...
We study classic fair-division problems in a partial information setting. This paper respectively ad...
We study the problem of fair division when the resources contain both divisible and indivisible good...
We propose a new framework for optimization under fairness constraints. The problems we consider mod...
We revisit the classic problem of fair division from a mechanism design perspective, using proportio...
We address the problem of fair division, or cake cutting, with the goal of finding truthful mechanis...
We study the mechanism design problem of allocating a set of indivisible items without monetary tran...
We study a fair division problem, where a set of indivisible goods is to be allocated to a set of n ...
The problem of allocating divisible goods has enjoyed a lot of attention in both mathematics (e.g. t...
We study a fair division problem with indivisible objects like jobs, houses, and one divisible good ...
We study the problem of fairly dividing a heterogeneous resource, commonly known as cake cutting and...
In this work, we study the maximin share (MMS) fair allocation of indivisible chores. For additive v...
We study the problem of fair division of a heterogeneous resource among strategic players. Given a d...
A collection of objects, some of which are good and some are bad, is to be divided fairly among agen...
Haake C-J, Raith MG, Su FE. Bidding for envy-freeness: A procedural approach to n-player fair-divisi...
Abstract. The Max-Min Fairness problem is as follows: Given m indivisible goods and k players, each ...
We study classic fair-division problems in a partial information setting. This paper respectively ad...
We study the problem of fair division when the resources contain both divisible and indivisible good...
We propose a new framework for optimization under fairness constraints. The problems we consider mod...
We revisit the classic problem of fair division from a mechanism design perspective, using proportio...
We address the problem of fair division, or cake cutting, with the goal of finding truthful mechanis...
We study the mechanism design problem of allocating a set of indivisible items without monetary tran...
We study a fair division problem, where a set of indivisible goods is to be allocated to a set of n ...
The problem of allocating divisible goods has enjoyed a lot of attention in both mathematics (e.g. t...
We study a fair division problem with indivisible objects like jobs, houses, and one divisible good ...
We study the problem of fairly dividing a heterogeneous resource, commonly known as cake cutting and...
In this work, we study the maximin share (MMS) fair allocation of indivisible chores. For additive v...
We study the problem of fair division of a heterogeneous resource among strategic players. Given a d...
A collection of objects, some of which are good and some are bad, is to be divided fairly among agen...
Haake C-J, Raith MG, Su FE. Bidding for envy-freeness: A procedural approach to n-player fair-divisi...
Abstract. The Max-Min Fairness problem is as follows: Given m indivisible goods and k players, each ...
We study classic fair-division problems in a partial information setting. This paper respectively ad...
We study the problem of fair division when the resources contain both divisible and indivisible good...
We propose a new framework for optimization under fairness constraints. The problems we consider mod...