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06/26/2023
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
As the scale of machine learning models increases, trends such as scalin...
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06/13/2023
Incentivizing High-Quality Content in Online Recommender Systems
For content recommender systems such as TikTok and YouTube, the platform...
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08/30/2022
Competition, Alignment, and Equilibria in Digital Marketplaces
Competition between traditional platforms is known to improve user utili...
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06/27/2022
Supply-Side Equilibria in Recommender Systems
Digital recommender systems such as Spotify and Netflix affect not only ...
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03/31/2022
Performative Power
We introduce the notion of performative power, which measures the abilit...
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02/01/2022
Regret Minimization with Performative Feedback
In performative prediction, the deployment of a predictive model trigger...
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08/19/2021
Learning Equilibria in Matching Markets from Bandit Feedback
Large-scale, two-sided matching platforms must find market outcomes that...
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06/24/2021
Alternative Microfoundations for Strategic Classification
When reasoning about strategic behavior in a machine learning context it...
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02/24/2021
Inductive Bias of Multi-Channel Linear Convolutional Networks with Bounded Weight Norm
We study the function space characterization of the inductive bias resul...
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04/12/2020
Individual Fairness in Pipelines
It is well understood that a system built from individually fair compone...
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03/31/2020
Fairness in ad auctions through inverse proportionality
We study the tradeoff between social welfare maximization and fairness i...
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06/20/2019
Multi-Category Fairness in Sponsored Search Auctions
Fairness in advertising is a topic of particular concern motivated by th...
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06/20/2019
Individual Fairness in Sponsored Search Auctions
Fairness in advertising is a topic of particular interest in both the co...
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03/08/2019