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02/03/2023
How Bad is Top-K Recommendation under Competing Content Creators?
Content creators compete for exposure on recommendation platforms, and s...
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02/03/2022
Learning from a Learning User for Optimal Recommendations
In real-world recommendation problems, especially those with a formidabl...
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10/06/2021
Learning the Optimal Recommendation from Explorative Users
We propose a new problem setting to study the sequential interactions be...
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06/25/2020
Identification and Formal Privacy Guarantees
Empirical economic research crucially relies on highly sensitive individ...
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09/09/2019
Bias-Variance Games
Firms engaged in electronic commerce increasingly rely on machine learni...
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05/14/2019
Dashboard Mechanisms for Online Marketplaces
This paper gives a theoretical model for design and analysis of mechanis...
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02/19/2019
Inference from Auction Prices
Econometric inference allows an analyst to back out the values of agents...
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06/13/2018
Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models
We develop a theory for estimation of a high-dimensional sparse paramete...
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08/15/2017
