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04/16/2023
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits
Personalized recommender systems suffuse modern life, shaping what media...
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09/21/2022
Off-Policy Risk Assessment in Markov Decision Processes
Addressing such diverse ends as safety alignment with human preferences,...
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06/27/2022
Supervised Learning with General Risk Functionals
Standard uniform convergence results bound the generalization gap of the...
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04/22/2022
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making
Hybrid human-ML systems are increasingly in charge of consequential deci...
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01/19/2022
Many Ways to be Lonely: Fine-grained Characterization of Loneliness and its Potential Changes in COVID-19
Loneliness has been associated with negative outcomes for physical and m...
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10/12/2021
Action-Sufficient State Representation Learning for Control with Structural Constraints
Perceived signals in real-world scenarios are usually high-dimensional a...
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07/01/2021
When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators
Ever since social activity on the Internet began migrating from the wild...
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04/18/2021
Off-Policy Risk Assessment in Contextual Bandits
To evaluate prospective contextual bandit policies when experimentation ...
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03/04/2021
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
In order to model risk aversion in reinforcement learning, an emerging l...
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03/02/2021
Median Optimal Treatment Regimes
Optimal treatment regimes are personalized policies for making a treatme...
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11/13/2020
Rebounding Bandits for Modeling Satiation Effects
Psychological research shows that enjoyment of many goods is subject to ...
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12/12/2019
Game Design for Eliciting Distinguishable Behavior
The ability to inferring latent psychological traits from human behavior...
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12/02/2019
Diagnostic Curves for Black Box Models
In safety-critical applications of machine learning, it is often necessa...
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09/10/2018
