| Distributed linear regression by averaging E Dobriban, Y Sheng Annals of Statistics 49 (2), 918-943, 2021 | 86 | 2021 |
| WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions E Dobriban, Y Sheng Journal of Machine Learning Research 21 (66), 1-52, 2020 | 65* | 2020 |
| Rational Solutions of the Painlev\'e-III Equation T Bothner, PD Miller, Y Sheng Studies in Applied Mathematics 141 (4), 626-679, 2018 | 21 | 2018 |
| Selecting the number of components in PCA via random signflips D Hong, Y Sheng, E Dobriban arXiv:2012.02985, 2020 | 20 | 2020 |
| Rational solutions of the Painlev\'e-II equation revisited PD Miller, Y Sheng Symmetry, Integrability and Geometry: Methods and Applications (SIGMA) 13 (065), 2017 | 14 | 2017 |
| One-shot distributed ridge regression in high dimensions Y Sheng, E Dobriban International Conference on Machine Learning, 8763-8772, 2020 | 8 | 2020 |
| Accelerated gradient flow: Risk, stability, and implicit regularization Y Sheng, A Ali arXiv preprint arXiv:2201.08311, 2022 | 3 | 2022 |
| Supplement to “Distributed linear regression by averaging.” E Dobriban, Y Sheng | 1 | 2021 |
| Applications of Random Matrix Theory in Statistics and Machine Learning Y Sheng University of Pennsylvania, 2021 | | 2021 |
Edgar DobribanStatistics & Computer Science, University of PennsylvaniaVerified email at upenn.edu