1 citations · 1 across the 1 of their papers we have counts for
3 papers
math.ST2021
Identity testing under label mismatch
Clément L. Canonne, Karl Wimmer
Testing whether the observed data conforms to a purported model (probability distribution) is a basic and fundamental statistical task, and one that is by now well understood. Howe…
cs.LG2020★ 1 cited
List Learning with Attribute Noise
Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba +2
We introduce and study the model of list learning with attribute noise. Learning with attribute noise was introduced by Shackelford and Volper (COLT 1988) as a variant of PAC learn…
cs.DS2020
Testing Data Binnings
Clément L. Canonne, Karl Wimmer
Motivated by the question of data quantization and "binning," we revisit the problem of identity testing of discrete probability distributions. Identity testing (a.k.a. one-sample…