Arrow Research search

Author name cluster

Xiaolin Bu

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

3 papers
2 author rows

Possible papers

3

FOCS Conference 2025 Conference Paper

Truthful and Almost Envy-Free Mechanism of Allocating Indivisible Goods: the Power of Randomness

  • Xiaolin Bu
  • Biaoshuai Tao

We study the problem of fairly and truthfully allocating m indivisible items to n agents with additive preferences. Specifically, we consider truthful mechanisms outputting allocations that satisfy $\mathrm{EF}_{-v}^{+u}$, where, in an $\mathrm{EF}_{-v}^{+u}$ allocation, for any pair of agents i and j, agent i will not envy agent j if u items were added to i ‘s bundle and v items were removed from j ‘s bundle. Previous work easily indicates that, when restricted to deterministic mechanisms, truthfulness will lead to a poor guarantee of fairness: even with two agents, for any u and $v, \mathrm{EF}_{-v}^{+u}$ cannot be guaranteed by truthful mechanisms when the number of items is large enough. In this work, we focus on randomized mechanisms, where we consider ex-ante truthfulness and ex-post fairness. For two agents, we present a truthful mechanism that achieves $\mathrm{EF}_{-1}^{+0}$ (i. e. , the well-studied fairness notion EF1). For three agents, we present a truthful mechanism that achieves $\mathrm{EF}_{-1}^{+1}$. For n agents in general, we show that there exists a truthful mechanism that achieves $\mathrm{EF}_{-O(\sqrt{n})}^{+0}$. We further consider fair and truthful mechanisms that also satisfy the standard efficiency guarantee: Pareto-optimality. We provide a mechanism that simultaneously achieves truthfulness, EF1, and Pareto-optimality for bi-valued utilities (where agents’ valuation on each item is either p or q for some $p\gt q \geq 0$). For tri-valued utilities (where agents’ valuations on each item belong to $\{p, q, r\}$ for some $p\gt q\gt r \geq 0$) and any $u, v$, we show that truthfulness is incompatible with $\mathbf{E F}_{-v}^{+u}$ and Pareto-optimality even for two agents.

AAAI Conference 2023 Conference Paper

Fair Division with Prioritized Agents

  • Xiaolin Bu
  • Zihao Li
  • Shengxin Liu
  • Jiaxin Song
  • Biaoshuai Tao

We consider the fair division problem of indivisible items. It is well-known that an envy-free allocation may not exist, and a relaxed version of envy-freeness, envy-freeness up to one item (EF1), has been widely considered. In an EF1 allocation, an agent may envy others' allocated shares, but only up to one item. In many applications, we may wish to specify a subset of prioritized agents where strict envy-freeness needs to be guaranteed from these agents to the remaining agents, while ensuring the whole allocation is still EF1. Prioritized agents may be those agents who are envious in a previous EF1 allocation, those agents who belong to underrepresented groups, etc. Motivated by this, we propose a new fairness notion named envy-freeness with prioritized agents EFprior, and study the existence and the algorithmic aspects for the problem of computing an EFprior allocation. With additive valuations, the simple round-robin algorithm is able to compute an EFprior allocation. In this paper, we mainly focus on general valuations. In particular, we present a polynomial-time algorithm that outputs an EFprior allocation with most of the items allocated. When all the items need to be allocated, we also present polynomial-time algorithms for some well-motivated special cases.