Single Machine Batch Scheduling to Minimize the Weighted Number of Tardy Jobs. - Danny Hermelin; Matthias Mnich; Simon Omlor (CoRR, 2019)

Oblivious Sketching for Logistic Regression. - Alexander Munteanu; Simon Omlor; David P. Woodruff (ICML, 2021)

p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets. - Alexander Munteanu; Simon Omlor; Christian Peters (AISTATS, 2022)

Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis. - Alexander Munteanu; Simon Omlor; Zhao Song 002; David P. Woodruff (ICML, 2022)

Almost Linear Constant-Factor Sketching for $ ell_1$ and Logistic Regression. - Alexander Munteanu; Simon Omlor; David P. Woodruff (ICLR, 2023)

Almost Linear Constant-Factor Sketching for 𝓁1 and Logistic Regression. - Alexander Munteanu; Simon Omlor; David P. Woodruff (CoRR, 2023)

Optimal bounds for ℓp sensitivity sampling via ℓ2 augmentation. - Alexander Munteanu; Simon Omlor (ICML, 2024)

Turnstile ℓp leverage score sampling with applications. - Alexander Munteanu; Simon Omlor (ICML, 2024)

Optimal bounds for ℓp sensitivity sampling via ℓ2 augmentation. - Alexander Munteanu; Simon Omlor (CoRR, 2024)

Turnstile ℓp leverage score sampling with applications. - Alexander Munteanu; Simon Omlor (CoRR, 2024)

Scheduling with non-renewable resources: minimizing the sum of completion times. - Kristóf Bérczi; Tamás Király; Simon Omlor (J. Sched., 2024)

Serial batching to minimize the weighted number of tardy jobs. - Danny Hermelin; Matthias Mnich; Simon Omlor (J. Sched., 2024)