| Oblivious sketching for logistic regression A Munteanu, S Omlor, D Woodruff International Conference on Machine Learning, 7861-7871, 2021 | 19 | 2021 |
| Bounding the width of neural networks via coupled initialization a worst case analysis A Munteanu, S Omlor, Z Song, D Woodruff International Conference on Machine Learning, 16083-16122, 2022 | 17 | 2022 |
| Scheduling with non-renewable resources: Minimizing the sum of completion times K Bérczi, T Király, S Omlor International symposium on combinatorial optimization, 167-178, 2020 | 6 | 2020 |
| Single machine batch scheduling to minimize the weighted number of tardy jobs D Hermelin, M Mnich, S Omlor arXiv preprint arXiv:1911.12350, 2019 | 6 | 2019 |
| Almost Linear Constant-Factor Sketching for and Logistic Regression A Munteanu, S Omlor, D Woodruff arXiv preprint arXiv:2304.00051, 2023 | 5 | 2023 |
| p-Generalized probit regression and scalable maximum likelihood estimation via sketching and coresets A Munteanu, S Omlor, C Peters International Conference on Artificial Intelligence and Statistics, 2073-2100, 2022 | 5 | 2022 |
| Compressing data for generalized linear regression S Omlor | | 2022 |
