7 citations · 10 across the 6 of their papers we have counts for
5 papers · 1 filter
Transfer Learning for Linear Regression: a Statistical Test of Gain
David Obst, Badih Ghattas, Jairo Cugliari +3
Transfer learning, also referred as knowledge transfer, aims at reusing knowledge from a source dataset to a similar target one. While many empirical studies illustrate the benefit…
A combined strategy for multivariate density estimation
Alejandro Cholaquidis, Ricardo Fraiman, Badih Ghattas +1
Non-linear aggregation strategies have recently been proposed in response to the problem of how to combine, in a non-linear way, estimators of the regression function (see for inst…
Robust Fusion Methods for Structured Big Data
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman +1
We address one of the important problems in Big Data, namely how to combine estimators from different subsamples by robust fusion procedures, when we are unable to deal with the wh…
Robust Fusion Methods for Big Data
Catherine Aaron, Alejandro Cholaquidis, Ricardo Fraiman +1
We address one of the important problems in Big Data, namely how to combine estimators from different subsamples by robust fusion procedures, when we are unable to deal with the wh…
Nonparametric test for detecting change in distribution with panel data
Denys Pommeret, Mohamed Boutahar, Badih Ghattas
This paper considers the problem of comparing two processes with panel data. A nonparametric test is proposed for detecting a monotone change in the link between the two process di…