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02/18/2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits
Algorithmic fairness is an essential requirement as AI becomes integrate...
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11/01/2022
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments
With the increased legislation around data privacy, federated learning (...
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02/03/2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
As various post hoc explanation methods are increasingly being leveraged...
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06/08/2021
Solving Structured Hierarchical Games Using Differential Backward Induction
Many real-world systems possess a hierarchical structure where a strateg...
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02/21/2021
A Game-Theoretic Approach for Hierarchical Policy-Making
We present the design and analysis of a multi-level game-theoretic model...
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02/21/2021
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
As machine learning black boxes are increasingly being deployed in criti...
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01/07/2021
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
Active screening is a common approach in controlling the spread of recur...
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06/14/2020
Fair Influence Maximization: A Welfare Optimization Approach
Several social interventions (e.g., suicide and HIV prevention) leverage...
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06/01/2019
Network Formation under Random Attack and Probabilistic Spread
We study a network formation game where agents receive benefits by formi...
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05/22/2019
Equilibrium Characterization for Data Acquisition Games
We study a game between two firms in which each provide a service based ...
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08/30/2018
Fair Algorithms for Learning in Allocation Problems
Settings such as lending and policing can be modeled by a centralized ag...
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06/07/2017
A Convex Framework for Fair Regression
We introduce a flexible family of fairness regularizers for (linear and ...
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03/27/2017