We show that two procedures for false discovery rate (FDR) control – the...
We introduce the notion of a risk-limiting financial auditing (RLFA): gi...
Online learning with expert advice is a fundamental problem of sequentia...
Suppose that one can construct a valid (1-δ)-CI for each of K
parameters...
In bandit multiple hypothesis testing, each arm corresponds to a differe...
We demonstrate new algorithms for online multiple testing that provably
...
We address imbalanced classification, the problem in which a label may h...
We study statistical properties of the k-nearest neighbors algorithm for...