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Featured Co-authors

Jonathan Scarlett
65 publications
Milind Tambe
58 publications
Warut Suksompong
55 publications
Edith Elkind
36 publications
Reza Shokri
30 publications
Ayumi Igarashi
26 publications
Reshef Meir
26 publications
Bryan Wilder
25 publications
Vignesh Viswanathan
12 publications
Cyrus Cousins
12 publications
Urban Larsson
12 publications

∙ 07/25/2023

Towards an AI Accountability Policy

This white paper is a response to the "AI Accountability Policy Request ...

0 Przemyslaw Grabowicz, et al. ∙

∙ 07/24/2023

The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences

We study the problem of fairly allocating indivisible goods (positively ...

0 Cyrus Cousins, et al. ∙

∙ 06/27/2023

Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse

We propose a novel data-driven framework for algorithmic recourse that o...

0 Jenny Hamer, et al. ∙

∙ 03/10/2023

Weighted Notions of Fairness with Binary Supermodular Chores

We study the problem of allocating indivisible chores among agents with ...

0 Vignesh Viswanathan, et al. ∙

∙ 02/14/2023

For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods

Fair allocation of indivisible goods is a well-explored problem. Traditi...

0 Jonathan Scarlett, et al. ∙

∙ 02/06/2023

Dividing Good and Better Items Among Agents with Submodular Valuations

We study the problem of fairly allocating a set of indivisible goods amo...

0 Cyrus Cousins, et al. ∙

∙ 01/25/2023

Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities

Peer review cannot work unless qualified and interested reviewers are as...

0 Cyrus Cousins, et al. ∙

∙ 08/15/2022

A General Framework for Fair Allocation with Matroid Rank Valuations

We study the problem of fairly allocating a set of indivisible goods amo...

0 Vignesh Viswanathan, et al. ∙

∙ 06/17/2022

Yankee Swap: a Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations

We study fair allocation of indivisible goods when agents have matroid r...

0 Vignesh Viswanathan, et al. ∙

∙ 09/08/2021

Model Explanations via the Axiomatic Causal Lens

Explaining the decisions of black-box models has been a central theme in...

0 Vignesh Viswanathan, et al. ∙

∙ 08/04/2021

I Will Have Order! Optimizing Orders for Fair Reviewer Assignment

Scientific advancement requires effective peer review. Papers should be ...

0 Justin Payan, et al. ∙

∙ 12/29/2020

The Price is (Probably) Right: Learning Market Equilibria from Samples

Equilibrium computation in markets usually considers settings where play...

0 Omer Lev, et al. ∙

∙ 06/16/2020

Model Explanations with Differential Privacy

Black-box machine learning models are used in critical decision-making d...

0 Neel Patel, et al. ∙

∙ 06/16/2020

High Dimensional Model Explanations: an Axiomatic Approach

Complex black-box machine learning models are regularly used in critical...

0 Neel Patel, et al. ∙

∙ 05/13/2020

Cumulative Games: Who is the current player?

Combinatorial Game Theory (CGT) is a branch of game theory that has deve...

0 Urban Larsson, et al. ∙

∙ 03/16/2020

Finding Fair and Efficient Allocations When Valuations Don't Add Up

In this paper, we present new results on the fair and efficient allocati...

9 Nawal Benabbou, et al. ∙

∙ 03/07/2020

Keeping Your Friends Close: Land Allocation with Friends

We examine the problem of assigning plots of land to prospective buyers ...

0 Edith Elkind, et al. ∙

∙ 09/23/2019

On Weighted Envy-Freeness in Indivisible Item Allocation

In this paper, we introduce and analyze new envy-based fairness concepts...

0 Mithun Chakraborty, et al. ∙

∙ 06/29/2019

Privacy Risks of Explaining Machine Learning Models

Can we trust black-box machine learning with its decisions? Can we trust...

10 Reza Shokri, et al. ∙

∙ 03/20/2019

A Learning Framework for Distribution-Based Game-Theoretic Solution Concepts

The past few years have seen several works establishing PAC frameworks f...

0 Tushant Jha, et al. ∙

∙ 03/03/2019

Group-Fairness in Influence Maximization

Influence maximization is a widely used model for information disseminat...

0 Alan Tsang, et al. ∙

∙ 11/12/2018

Forming Probably Stable Communities with Limited Interactions

A community needs to be partitioned into disjoint groups; each community...

0 Ayumi Igarashi, et al. ∙

∙ 11/28/2017

Diversity Constraints in Public Housing Allocation

The state of Singapore operates a national public housing program, accou...

0 Nawal Benabbou, et al. ∙

∙ 08/07/2017

A Characterization of Monotone Influence Measures for Data Classification

In this work we focus on the following question: how important was the i...

0 Jakub Sliwinski, et al. ∙

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