2021
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding
AISTATS 2021poster
We propose an improved estimator for the multi-task averaging problem, whose goal is the joint estimation of the means of multiple distributions using separate, independent data sets. The naive approach is to take the empirical mean of each data set individually, whereas the proposed method exploits…