Omlor, Simon

6 publications

ICML 2024 Optimal Bounds for $\ell_p$ Sensitivity Sampling via $\ell_2$ Augmentation Alexander Munteanu, Simon Omlor

ICML 2024 Turnstile $\ell_p$ Leverage Score Sampling with Applications Alexander Munteanu, Simon Omlor

ICLR 2023 Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression Alexander Munteanu, Simon Omlor, David Woodruff

AISTATS 2022 P-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets Alexander Munteanu, Simon Omlor, Christian Peters

ICML 2022 Bounding the Width of Neural Networks via Coupled Initialization a Worst Case Analysis Alexander Munteanu, Simon Omlor, Zhao Song, David Woodruff

ICML 2021 Oblivious Sketching for Logistic Regression Alexander Munteanu, Simon Omlor, David Woodruff