On optimal linear smoothing theory

On Optimal Linear Smoothing Theory

on the effect of linear & non-linear texts on students comprehension and recalling

چکیده ندارد.

Optimal Smoothing for Pathwise Adjoints

We propose an optimal smoothing parametrization for gradient estimators of expectations of discontinuous functions. The reparametrization trick with discontinuous functions gives gradient estimators for discrete random variables [5, 8, 13] and makes smoothing applicable in the machine learning context (e.g. variational inference and stochastic neural networks [11, 1, 12, 6]). Our approach is ba...

Optimal Smoothing with Correlated Data

Penalized likelihood method offers versatile smoothing techniques in a variety of stochastic settings, and the proper selection of the smoothing parameters and other tuning parameters is crucial to the practical performance of penalized likelihood estimates. In this article, we study the selection of the smoothing parameters and the correlation parameters in penalized likelihood regression with...

Smoothing of Piecewise Linear Paths

The pointwise traversal of a given path is a popular task in the area of robotics, e.g. in mobile, industrial or surgical robotics. The easiest method to describe paths is by a sequence of linear segments, and for many tasks the precision of a path approximated by linear segments is sufficient. The movements to be accomplished by a mobile robot or the robot’s end-effector are described by a seq...