activity
20192023
most citedMulti-type Resource Allocation with Partial Preferences

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT2023

First-Choice Maximality Meets Ex-ante and Ex-post Fairness

Xiaoxi Guo, Sujoy Sikdar, Lirong Xia +2

For the assignment problem where multiple indivisible items are allocated to a group of agents given their ordinal preferences, we design randomized mechanisms that satisfy first-c…

cs.GT2021★ 2 cited

Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms

Xiaoxi Guo, Sujoy Sikdar, Lirong Xia +2

In the assignment problem, the goal is to assign indivisible items to agents who have ordinal preferences, efficiently and fairly, in a strategyproof manner. In practice, first-cho…

cs.GT2021

Sequential Mechanisms for Multi-type Resource Allocation

Sujoy Sikdar, Xiaoxi Guo, Haibin Wang +2

Several resource allocation problems involve multiple types of resources, with a different agency being responsible for "locally" allocating the resources of each type, while a cen…

cs.GT2020★ 1 cited

Probabilistic Serial Mechanism for Multi-Type Resource Allocation

Xiaoxi Guo, Sujoy Sikdar, Haibin Wang +3

In multi-type resource allocation (MTRA) problems, there are p 2 types of items, and n agents, who each demand one unit of items of each type, and have strict linear preferen…

cs.AI2019★ 2 cited

Multi-type Resource Allocation with Partial Preferences

Haibin Wang, Sujoy Sikdar, Xiaoxi Guo +3

We propose multi-type probabilistic serial (MPS) and multi-type random priority (MRP) as extensions of the well known PS and RP mechanisms to the multi-type resource allocation pro…