Nicholas H. Nelsen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Scientific Computing

Learning From Noisy Data

Randomized Algorithms

Top Venues

SIAM/ASA J. Uncertain. Quantification

SIAM J. Sci. Comput.

Publications

Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner
An operator learning perspective on parameter-to-observable maps. CoRR (2024)
Oliver R. A. Dunbar, Nicholas H. Nelsen, Maya Mutic
Hyperparameter Optimization for Randomized Algorithms: A Case Study for Random Features. CoRR (2024)
Nicholas H. Nelsen, Andrew M. Stuart
Operator Learning Using Random Features: A Tool for Scientific Computing. SIAM Rev. 66 (3) (2024)
Samuel Lanthaler, Nicholas H. Nelsen
Error Bounds for Learning with Vector-Valued Random Features. CoRR (2023)
Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart
Convergence Rates for Learning Linear Operators from Noisy Data. SIAM/ASA J. Uncertain. Quantification 11 (2) (2023)
Samuel Lanthaler, Nicholas H. Nelsen
Error Bounds for Learning with Vector-Valued Random Features. NeurIPS (2023)
Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart
Convergence Rates for Learning Linear Operators from Noisy Data. CoRR (2021)
Nicholas H. Nelsen, Andrew M. Stuart
The Random Feature Model for Input-Output Maps between Banach Spaces. SIAM J. Sci. Comput. 43 (5) (2021)
Nicholas H. Nelsen, Andrew M. Stuart
The Random Feature Model for Input-Output Maps between Banach Spaces. CoRR (2020)