Yiming Xu

According to our database, Yiming Xu authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

Hybrid least squares for learning functions from highly noisy data.

Ben Adcock, Bernhard Hientzsch, Akil Narayan, Yiming Xu

CoRR, July, 2025

2024

An Approximate Control Variates Approach to Multifidelity Distribution Estimation.

Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu

SIAM/ASA J. Uncertain. Quantification, 2024

Subsampling of Parametric Models with Bifidelity Boosting.

Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan

SIAM/ASA J. Uncertain. Quantification, 2024

2023

Randomized weakly admissible meshes.

Yiming Xu, Akil Narayan

J. Approx. Theory, January, 2023

Budget-limited distribution learning in multifidelity problems.

Yiming Xu, Akil Narayan

Numerische Mathematik, 2023

An approximate control variates approach to multifidelity distribution estimation.

Ruijian Han, Akil Narayan, Yiming Xu

CoRR, 2023

Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks.

Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe

Proceedings of the International Conference on Machine Learning, 2023

2022

A Bandit-Learning Approach to Multifidelity Approximation.

Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan

SIAM J. Sci. Comput., 2022

Quadrature Sampling of Parametric Models with Bi-fidelity Boosting.

Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan

CoRR, 2022

Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems.

Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan

CoRR, 2022

Nonparametric Embeddings of Sparse High-Order Interaction Events.

Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe

Proceedings of the International Conference on Machine Learning, 2022

2021

Consistency of Archetypal Analysis.

Braxton Osting, Dong Wang, Yiming Xu, Dominique Zosso

SIAM J. Math. Data Sci., 2021

Probabilistic methods for approximate archetypal analysis.

Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu

CoRR, 2021

2020

Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing.

Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster

CoRR, 2020