28th Annual Conference on Learning Theory (COLT), Paris 2015

MCMC Learning

author: Varun Kanade, École normale supérieure Paris
published: Aug. 20, 2015, recorded: July 2015, views: 2047

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Description

The theory of learning under the uniform distribution is rich and deep, with connections to cryptography, computational complexity, and the analysis of boolean functions to name a few areas. This theory however is very limited due to the fact that the uniform distribution and the corresponding Fourier basis are rarely encountered as a statistical model.

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