| 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 | 23 | 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 | 6 | 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 | 3 | 2023 |
| Radius of information for two intersected centered hyperellipsoids and implications in optimal recovery from inaccurate data S Foucart, C Liao Journal of Complexity 83, 101841, 2024 | 2 | 2024 |
| Differentially Private Random Feature Model C Liao, D Needell, A Xue arXiv preprint arXiv:2412.04785, 2024 | 1 | 2024 |
| S-procedure relaxation: a case of exactness involving Chebyshev centers S Foucart, C Liao Explorations in the Mathematics of Data Science: The Inaugural Volume of the …, 2024 | 1 | 2024 |
| Solving Partial Differential Equations with Random Feature Models C Liao arXiv preprint arXiv:2501.00288, 2024 | | 2024 |
Simon FoucartProfessor of Mathematics, Texas A&M UniversityVerified email at tamu.edu
