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07/25/2023
Towards an AI Accountability Policy
This white paper is a response to the "AI Accountability Policy Request ...
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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 ...
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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...
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03/10/2023
Weighted Notions of Fairness with Binary Supermodular Chores
We study the problem of allocating indivisible chores among agents with ...
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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...
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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...
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01/25/2023
Into the Unknown: Assigning Reviewers to Papers with Uncertain Affinities
Peer review cannot work unless qualified and interested reviewers are as...
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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...
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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...
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09/08/2021
Model Explanations via the Axiomatic Causal Lens
Explaining the decisions of black-box models has been a central theme in...
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08/04/2021
I Will Have Order! Optimizing Orders for Fair Reviewer Assignment
Scientific advancement requires effective peer review. Papers should be ...
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12/29/2020
The Price is (Probably) Right: Learning Market Equilibria from Samples
Equilibrium computation in markets usually considers settings where play...
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06/16/2020
Model Explanations with Differential Privacy
Black-box machine learning models are used in critical decision-making d...
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06/16/2020
High Dimensional Model Explanations: an Axiomatic Approach
Complex black-box machine learning models are regularly used in critical...
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05/13/2020
Cumulative Games: Who is the current player?
Combinatorial Game Theory (CGT) is a branch of game theory that has deve...
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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...
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03/07/2020
Keeping Your Friends Close: Land Allocation with Friends
We examine the problem of assigning plots of land to prospective buyers ...
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09/23/2019
On Weighted Envy-Freeness in Indivisible Item Allocation
In this paper, we introduce and analyze new envy-based fairness concepts...
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06/29/2019
Privacy Risks of Explaining Machine Learning Models
Can we trust black-box machine learning with its decisions? Can we trust...
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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...
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03/03/2019
Group-Fairness in Influence Maximization
Influence maximization is a widely used model for information disseminat...
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11/12/2018
Forming Probably Stable Communities with Limited Interactions
A community needs to be partitioned into disjoint groups; each community...
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11/28/2017
Diversity Constraints in Public Housing Allocation
The state of Singapore operates a national public housing program, accou...
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08/07/2017