Competing with Gaussian linear experts

Details Competing with Gaussian linear experts Competing with Gaussian linear experts

2009-10-24

arxiv.org/abs/0910.4683v2

Computer Science

Learning

Scientific paper

We study the problem of online regression. We prove a theoretical bound on
the square loss of Ridge Regression. We do not make any assumptions about input
vectors or outcomes. We also show that Bayesian Ridge Regression can be thought
of as an online algorithm competing with all the Gaussian linear experts.

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