Bipartisan Ohio lawmakers are reviving an effort to regulate pricing algorithms, software that often uses artificial intelligence to adjust prices, rent and wages in ...

Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...

Tension: Marketers expect consistent ad performance, but audiences process the same message with decreasing intensity over ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Retention analysts say Shorts older than 28-30 days are being deprioritized in recommendations. The reported shift affects channels ranging from 100 million to one billion monthly views. Creators warn ...

Abstract: This article investigates the distributed optimal coordination problem and distributed constrained optimal coordination problem for multiple heterogeneous linear systems over a directed ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

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Optimal Blue CEO Joe Tyrrell has responded to a class action lawsuit alleging mortgage price-fixing, calling the claims baseless and frivolous. The company, along with 26 major lenders, is accused of ...

A new class-action lawsuit against Optimal Blue mirrors the RealPage and real estate commission lawsuits, alleging lenders used the firm’s pricing software to coordinate mortgage rates through shared ...

Abstract: In this article, we propose a novel online learning algorithm based on weighted policy iteration (WPI) for addressing optimal control problems of nonlinear systems. WPI is proposed to deal ...