A concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise

16 Feb 2017 Adrien Saumard

We prove a new and general concentration inequality for the excess risk in least-squares regression with random design and heteroscedastic noise. No specific structure is required on the model, except the existence of a suitable function that controls the local suprema of the empirical process... (read more)

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