Hybrid least squares for learning functions from highly noisy data

Ben Adcock, Bernhard Hientzsch, Akil Narayan +1

Motivated by the need for efficient estimation of conditional expectations, we consider a least-squares function approximation problem with heavily polluted data. Existing methods…