Estimator
–Neural Information Processing Systems
Observationso = δx are sampled with uniform distribution onx U[ 1,3](shown in blue) ˆfλ is calculated 500 times for different realizations of the training data (10 example predictors are shown in dashed lines), its mean and 2 standard deviation are shown in red. The true function f (x) = x2 +2cos(4x)is shown in black. Preliminary: Big-Pnotation Throughout our proofs, we will frequently rely on a polynomial analogue of the big-O notation, whichwecallbig-P: Definition1. Let us observe that all the quantities we study (the predictor, the risk and empirical risk) stay the sameifanyobservation oi isreplacedby oi. The existence and the uniqueness of the solution in the cone spanned by1and 1/z of theequation canbeargued asfollows.
Neural Information Processing Systems
Feb-9-2026, 21:46:52 GMT