Nicholas H. Nelsen

According to our database, Nicholas H. Nelsen authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Operator Learning Using Random Features: A Tool for Scientific Computing.

Nicholas H. Nelsen, Andrew M. Stuart

SIAM Rev., 2024

Hyperparameter Optimization for Randomized Algorithms: A Case Study for Random Features.

Oliver R. A. Dunbar, Nicholas H. Nelsen, Maya Mutic

CoRR, 2024

An operator learning perspective on parameter-to-observable maps.

Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner

CoRR, 2024

2023

Convergence Rates for Learning Linear Operators from Noisy Data.

Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart

SIAM/ASA J. Uncertain. Quantification, June, 2023

Error Bounds for Learning with Vector-Valued Random Features.

Samuel Lanthaler, Nicholas H. Nelsen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

The Random Feature Model for Input-Output Maps between Banach Spaces.

Nicholas H. Nelsen, Andrew M. Stuart

SIAM J. Sci. Comput., 2021