2021
Bootstrapping the Error of Oja's Algorithm
NeurIPS 2021spotlight
We consider the problem of quantifying uncertainty for the estimation error of the leading eigenvector from Oja's algorithm for streaming principal component analysis, where the data are generated IID from some unknown distribution. By combining classical tools from the U-statistics literature with…