| A communication-efficient distributed gradient clipping algorithm for training deep neural networks M Liu, Z Zhuang, Y Lei, C Liao Advances in Neural Information Processing Systems 35, 26204-26217, 2022 | 9 | 2022 |
| Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, But What of the Parameter? S Foucart, C Liao Constructive Approximation 57 (2), 489-520, 2023 | 5 | 2023 |
| Learning from Non-Random Data in Hilbert Spaces: An Optimal Recovery Perspective S Foucart, C Liao, S Shahrampour, Y Wang Sampling Theory, Signal Processing, and Data Analysis 20 (1), 1-19, 2022 | 4 | 2022 |
| On the Optimal Recovery of Graph Signals S Foucart, C Liao, N Veldt 2023 International Conference on Sampling Theory and Applications (SampTA), 2023 | 2 | 2023 |
| Radius of Information for Two Intersected Centered Hyperellipsoids and Implications in Optimal Recovery from Inaccurate Data S Foucart, C Liao arXiv preprint arXiv:2401.11112, 2024 | | 2024 |
| S-Procedure Relaxation: a Case of Exactness Involving Chebyshev Centers S Foucart, C Liao arXiv preprint arXiv:2310.09677, 2023 | | 2023 |
Simon FoucartProfessor of Mathematics, Texas A&M University在 tamu.edu 的电子邮件经过验证
