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Quantifying the Complexity and Learnability of Strategic Classification Problems
April 12, 2024, 7:35 p.m. | Jonathan Yahav
Towards Data Science - Medium towardsdatascience.com
How generalizing the notion of VC dimension to a strategic setting can help us understand whether or not a problem is learnable
Image generated by the author using DALL-E 3.In the first article in this series, we formally defined the strategic classification problem, denoted Sᴛʀᴀᴄ⟨H, R, c⟩, as a generalization of canonical binary classification. We did so based on the paper PAC-Learning for Strategic Classification (Sundaram, Vullikanti, Xu, & Yao, 2021). Along …
article author canonical classification classification-algorithms complexity dall dall-e dall-e 3 game theory generated machine learning notion series thoughts-and-theory
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