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08/13/2023
Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards
In practice, incentive providers (i.e., principals) often cannot observe...
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04/14/2023
Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents
Motivated by a number of real-world applications from domains like healt...
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10/04/2022
When would online platforms pay data dividends
Online platforms, including social media and search platforms, have rout...
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04/13/2022
Optimally Designing Cybersecurity Insurance Contracts to Encourage the Sharing of Medical Data
Though the sharing of medical data has the potential to lead to breakthr...
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11/27/2021
Learning from learning machines: a new generation of AI technology to meet the needs of science
We outline emerging opportunities and challenges to enhance the utility ...
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10/18/2021
Protecting Anonymous Speech: A Generative Adversarial Network Methodology for Removing Stylistic Indicators in Text
With Internet users constantly leaving a trail of text, whether through ...
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08/04/2021
Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function
The exploration/exploitation trade-off is an inherent challenge in data-...
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03/31/2020
Covariance-Robust Dynamic Watermarking
Attack detection and mitigation strategies for cyberphysical systems (CP...
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03/22/2020
Hypothesis Testing Approach to Detecting Collusion in Competitive Environments
There is growing concern about the possibility for tacit collusion using...
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10/18/2019
Optimization Hierarchy for Fair Statistical Decision Problems
Data-driven decision-making has drawn scrutiny from policy makers due to...
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03/18/2019
Surrogate Optimal Control for Strategic Multi-Agent Systems
This paper studies how to design a platform to optimally control constra...
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11/06/2018
A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning
On-policy imitation learning algorithms such as Dagger evolve a robot co...
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10/09/2018
Average Margin Regularization for Classifiers
Adversarial robustness has become an important research topic given empi...
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02/11/2018
Convex Formulations for Fair Principal Component Analysis
Though there is a growing body of literature on fairness for supervised ...
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10/16/2017
