activity
20192026
most citedOrdinal Maximin Share Approximation for Goods

10 citations · 29 across the 16 of their papers we have counts for

collaborators

21 papers

cs.GT2026

Simultaneous Envy and Equitability Guarantees

Hadi Hosseini, Shraddha Pathak, Lirong Xia +1

Recent work in fair division has focused on either simultaneously satisfying closely related fairness notions or achieving a single notion across the ex-ante and ex-post worlds. We…

cs.GT2026

To EFX OR to MMS, That is the Question

Hadi Hosseini, Payas Khurana, Shraddha Pathak +1

We study the agent-wise disjunction of two central fairness notions for indivisible items, where every agent must be either envy-free up to any item (EFX) or maximin-share (MMS) sa…

cs.DS2023★ 1 cited

Tight Approximations for Graphical House Allocation

Hadi Hosseini, Andrew McGregor, Rik Sengupta +2

The Graphical House Allocation problem asks: how can houses (each with a fixed non-negative value) be assigned to the vertices of an undirected graph , so as to minimize the…

cs.GT2023★ 1 cited

Fairly Allocating Goods and (Terrible) Chores

Hadi Hosseini, Aghaheybat Mammadov, Tomasz Wąs

We study the fair allocation of mixtures of indivisible goods and chores under lexicographic preferences$\unicode{x2014}$a subdomain of additive preferences. A prominent fairness n…

cs.GT2023

Distribution of Chores with Information Asymmetry

Hadi Hosseini, Joshua Kavner, Tomasz Wąs +1

A well-regarded fairness notion when dividing indivisible chores is envy-freeness up to one item (EF1), which requires that pairwise envy can be eliminated by the removal of a sing…

cs.GT2023

Fair Distribution of Delivery Orders

Hadi Hosseini, Shivika Narang, Tomasz Wąs

We initiate the study of fair distribution of delivery tasks among a set of agents wherein delivery jobs are placed along the vertices of a graph. Our goal is to fairly distribute…

cs.GT2023

Graphical House Allocation

Hadi Hosseini, Justin Payan, Rik Sengupta +2

The classical house allocation problem involves assigning houses (or items) to agents according to their preferences. A key criterion in such problems is satisfying some fa…

cs.GT2022★ 2 cited

Epistemic vs. Counterfactual Fairness in Allocation of Resources

Hadi Hosseini, Joshua Kavner, Sujoy Sikdar +2

Resource allocation is fundamental to a variety of societal decision-making settings, ranging from the distribution of charitable donations to assigning limited public housing amon…

cs.GT2022★ 5 cited

Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences

Hadi Hosseini, Sujoy Sikdar, Rohit Vaish +1

We study fair allocation of indivisible goods and chores among agents with \emph{lexicographic} preferences -- a subclass of additive valuations. In sharp contrast to the goods-onl…

cs.GT2022

Class Fairness in Online Matching

Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi +1

In the classical version of online bipartite matching, there is a given set of offline vertices (aka agents) and another set of vertices (aka items) that arrive online. When each i…

cs.GT2022★ 1 cited

Fair Stable Matching Meets Correlated Preferences

Angelina Brilliantova, Hadi Hosseini

The stable matching problem sets the economic foundation of several practical applications ranging from school choice and medical residency to ridesharing and refugee placement. It…

cs.GT2022★ 1 cited

Two for One One for All: Two-Sided Manipulation in Matching Markets

Hadi Hosseini, Fatima Umar, Rohit Vaish

Strategic behavior in two-sided matching markets has been traditionally studied in a "one-sided" manipulation setting where the agent who misreports is also the intended beneficiar…

cs.GT2022★ 4 cited

Ordinal Maximin Share Approximation for Chores

Hadi Hosseini, Andrew Searns, Erel Segal-Halevi

We study the problem of fairly allocating a set of m indivisible chores (items with non-positive value) to n agents. We consider the desirable fairness notion of 1-out-of-d maximin…

cs.GT2021★ 10 cited

Ordinal Maximin Share Approximation for Goods

Hadi Hosseini, Andrew Searns, Erel Segal-Halevi

In fair division of indivisible goods, -out-of- maximin share (MMS) is the value that an agent can guarantee by partitioning the goods into bundles and choosing the $\…

cs.GT2021

Surprisingly Popular Voting Recovers Rankings, Surprisingly!

Hadi Hosseini, Debmalya Mandal, Nisarg Shah +1

The wisdom of the crowd has long become the de facto approach for eliciting information from individuals or experts in order to predict the ground truth. However, classical democra…

cs.GT2021

Guaranteeing Maximin Shares: Some Agents Left Behind

Hadi Hosseini, Andrew Searns

The maximin share (MMS) guarantee is a desirable fairness notion for allocating indivisible goods. While MMS allocations do not always exist, several approximation techniques have…

cs.GT2020★ 4 cited

Fair and Efficient Allocations under Lexicographic Preferences

Hadi Hosseini, Sujoy Sikdar, Rohit Vaish +1

Envy-freeness up to any good (EFX) provides a strong and intuitive guarantee of fairness in the allocation of indivisible goods. But whether such allocations always exist or whethe…

cs.GT2020

Accomplice Manipulation of the Deferred Acceptance Algorithm

Hadi Hosseini, Fatima Umar, Rohit Vaish

The deferred acceptance algorithm is an elegant solution to the stable matching problem that guarantees optimality and truthfulness for one side of the market. Despite these desira…

cs.GT2020

Necessarily Optimal One-Sided Matchings

Hadi Hosseini, Vijay Menon, Nisarg Shah +1

We study the classical problem of matching agents to objects, where the agents have ranked preferences over the objects. We focus on two popular desiderata from the matchin…

cs.GT2020

Fair Division of Time: Multi-layered Cake Cutting

Hadi Hosseini, Ayumi Igarashi, Andrew Searns

We initiate the study of multi-layered cake cutting with the goal of fairly allocating multiple divisible resources (layers of a cake) among a set of agents. The key requirement is…

econ.TH2019

The Crawler: Three Equivalence Results for Object (Re)allocation Problems when Preferences Are Single-peaked

Yuki Tamura, Hadi Hosseini

For object reallocation problems, if preferences are strict but otherwise unrestricted, the Top Trading Cycles rule (TTC) is the leading rule: It is the only rule satisfying effici…