arXiv Machine Learning June 26, 2026 By Yingshuo Wang, Xian Sun, Yanhang Li, Zhichao Fan, Zexin Zhuang

Embedding Foundation Model Predictions in Discrete-Choice Models with Structural Guarantees

Read the original on arXiv Machine Learning →

arXiv:2606. 26432v1 Announce Type: new Abstract: Tabular foundation models achieve strong accuracy on choice prediction tasks, but their predictions often violate the economic logic those tasks require: raising a price can increase predicted demand, implied willingness-to-pay estimates are frequently negative or implausible, and unavailable alternatives receive nonzero probability.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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