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Modeling and Learning Dynamic Moral Judgments towards Allocations in High-stakes Domains

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Fair Allocation of Scarce Medical Resources in the Time of Covid-19
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Distributive justice and equity in transportation
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Seasonal Incidence of Symptomatic Influenza in the United States
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Active Learning of Reward Dynamics from Hierarchical Queries
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THE MORAL IMPORTANCE OF SELECTING PEOPLE RANDOMLY
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Who Should Get Influenza Vaccine When Not All Can?
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Adapting a Kidney Exchange Algorithm to Align with Human Values
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A Computational Model of Commonsense Moral Decision Making
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Fairness is not static
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Allocating Opportunities in a Dynamic Model of Intergenerational Mobility
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Learning Interpretable Feature Context Effects in Discrete Choice
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A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness
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Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization
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Asian Americans, Affirmative Action & the Rise in Anti-Asian Hate
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Active preference-based Gaussian process regression for reward learning and optimization
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Maximum Entropy Inverse Reinforcement Learning
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Capturing Flexible Heterogeneous Utility Curves: A Bayesian Spline Approach
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Active Learning for Contextual Search with Binary Feedback
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Learning Personalized Product Recommendations with Customer Disengagement
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Learning Preferences Under Noise and Loss Aversion: An Optimization Approach
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Active Preference-Based Learning of Reward Functions
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Learning Reward Functions by Integrating Human Demonstrations and Preferences
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Mobility for the People: Evaluating Equity Requirements in Shared Micromobility Programs
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Model-Free Preference-Based Reinforcement Learning
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Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations
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Individual Choice Behavior A Theoretical Analysis.
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Delayed Impact of Fair Machine Learning
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Log-concave sampling: Metropolis-Hastings algorithms are fast
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Preference-based Online Learning with Dueling Bandits: A Survey
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Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
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Robust Active Preference Elicitation
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Two Simple Ways to Learn Individual Fairness Metrics from Data
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Framing Moral Intuitions
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