3 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
Alexander Munteanu, Simon Omlor, Christian Peters
We study the -generalized probit regression model, which is a generalized linear model for binary responses. It extends the standard probit model by replacing its link function,…
Oblivious sketching for logistic regression
Alexander Munteanu, Simon Omlor, David Woodruff
What guarantees are possible for solving logistic regression in one pass over a data stream? To answer this question, we present the first data oblivious sketch for logistic regres…
Single Machine Batch Scheduling to Minimize the Weighted Number of Tardy Jobs
Danny Hermelin, Matthias Mnich, Simon Omlor
The scheduling problem takes as input a batch setup time and a set of jobs, each having a processing time, a release date, a weight, and a due date; t…
Scheduling with Non-Renewable Resources: Minimizing the Sum of Completion Times
Kristóf Bérczi, Tamás Király, Simon Omlor
The paper considers single-machine scheduling problems with a non-renewable resource. In this setting, we are given a set jobs, each of which is characterized by a processing time,…