37 citations · 77 across the 22 of their papers we have counts for
4 papers · 1 filter
Data subsampling for Poisson regression with pth-root-link
Han Cheng Lie, Alexander Munteanu
We develop and analyze data subsampling techniques for Poisson regression, the standard model for count data . In particular, we consider the Poisson generalized li…
Turnstile leverage score sampling with applications
Alexander Munteanu, Simon Omlor
The turnstile data stream model offers the most flexible framework where data can be manipulated dynamically, i.e., rows, columns, and even single entries of an input matrix can be…
Optimal bounds for sensitivity sampling via augmentation
Alexander Munteanu, Simon Omlor
Data subsampling is one of the most natural methods to approximate a massively large data set by a small representative proxy. In particular, sensitivity sampling received a lot of…
Scalable Learning of Item Response Theory Models
Susanne Frick, Amer Krivošija, Alexander Munteanu
Item Response Theory (IRT) models aim to assess latent abilities of examinees along with latent difficulty characteristics of test items from categorical data that indicate…