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04/17/2023
An Algorithmic Approach to Address Course Enrollment Challenges
Massive surges of enrollments in courses have led to a crisis in several...
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03/01/2023
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
Motivated by applications such as machine repair, project monitoring, an...
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05/11/2022
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Preventing poaching through ranger patrols protects endangered wildlife,...
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12/26/2021
Towards Fair Recommendation in Two-Sided Platforms
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn,...
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07/04/2021
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning
We introduce Robust Restless Bandits, a challenging generalization of re...
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05/17/2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
In many public health settings, it is important for patients to adhere t...
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03/08/2021
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Restless Multi-Armed Bandits (RMABs) have been popularly used to model l...
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09/12/2020
On Achieving Fairness and Stability in Many-to-One Matchings
Matching algorithms have been classically studied with the goal of findi...
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05/06/2020
Ensuring Fairness under Prior Probability Shifts
In this paper, we study the problem of fair classification in the presen...
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04/03/2020
COVID-19: Strategies for Allocation of Test Kits
With the increasing spread of COVID-19, it is important to systematicall...
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02/25/2020
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
We investigate the problem of fair recommendation in the context of two-...
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09/03/2019
Quantifying Infra-Marginality and Its Trade-off with Group Fairness
In critical decision-making scenarios, optimizing accuracy can lead to a...
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04/25/2018
Fair Division Under Cardinality Constraints
We consider the problem of fairly allocating indivisible goods, among ag...
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11/21/2017
