Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression

COLT, pp. 1050-1069, 2019.

Cited by: 0|Views46
EI

Abstract:

In experimental design, we are given a large collection of vectors, each with a hidden response value that we assume derives from an underlying linear model, and we wish to pick a small subset of the vectors such that querying the corresponding responses will lead to a good estimator of the model. A classical approach in statistics is to ...More

Code:

Data:

Your rating :
0

 

Tags
Comments