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ORCIDYiming Xu 0009
Person information
Other persons with the same name
- Yiming Xu — disambiguation page
- Yiming Xu 0001
![[0009-0006-2276-3692]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0006-2276-3692")
— Xi'an Jiaotong University, School of Computer Science and Technology, China - Yiming Xu 0002
- Yiming Xu 0003
- Yiming Xu 0004
- Yiming Xu 0005 — Leibniz University Hannover, Hannover, Germany
- Yiming Xu 0006
- Yiming Xu 0007
- Yiming Xu 0008
- Yiming Xu 0010
- Yiming Xu 0011
- Yiming Xu 0012
- Yiming Xu 0013
- Yiming Xu 0014
- Yiming Xu 0015
- Yiming Xu 0016
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2020 – today
- 2025
[i10]Ben Adcock, Bernhard Hientzsch, Akil Narayan, Yiming Xu:
Hybrid least squares for learning functions from highly noisy data. CoRR abs/2507.02215 (2025)- 2024
- [j6]Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan:
Subsampling of Parametric Models with Bifidelity Boosting. SIAM/ASA J. Uncertain. Quantification 12(2): 213-241 (2024) - [j5]Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu:
An Approximate Control Variates Approach to Multifidelity Distribution Estimation. SIAM/ASA J. Uncertain. Quantification 12(4): 1349-1388 (2024) - 2023
- [j4]Yiming Xu, Akil Narayan:
Randomized weakly admissible meshes. J. Approx. Theory 285: 105835 (2023) - [j3]Yiming Xu, Akil Narayan:
Budget-limited distribution learning in multifidelity problems. Numerische Mathematik 153(1): 171-212 (2023) - [c2]Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe:
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks. ICML 2023: 19855-19881 - [i9]Ruijian Han, Akil Narayan, Yiming Xu:
An approximate control variates approach to multifidelity distribution estimation. CoRR abs/2303.06422 (2023) - 2022
- [j2]Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
A Bandit-Learning Approach to Multifidelity Approximation. SIAM J. Sci. Comput. 44(1): 150- (2022) - [c1]Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe:
Nonparametric Embeddings of Sparse High-Order Interaction Events. ICML 2022: 23237-23253 - [i8]Zheng Wang, Yiming Xu, Conor Tillinghast, Shibo Li, Akil Narayan, Shandian Zhe:
Nonparametric Embeddings of Sparse High-Order Interaction Events. CoRR abs/2207.03639 (2022) - [i7]Osman Asif Malik, Yiming Xu, Nuojin Cheng, Stephen Becker, Alireza Doostan, Akil Narayan:
Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems. CoRR abs/2209.05662 (2022) - [i6]Nuojin Cheng, Osman Asif Malik, Yiming Xu, Stephen Becker, Alireza Doostan, Akil Narayan:
Quadrature Sampling of Parametric Models with Bi-fidelity Boosting. CoRR abs/2209.05705 (2022) - 2021
- [j1]Braxton Osting, Dong Wang, Yiming Xu, Dominique Zosso:
Consistency of Archetypal Analysis. SIAM J. Math. Data Sci. 3(1): 1-30 (2021) - [i5]Yiming Xu, Akil Narayan:
Randomized weakly admissible meshes. CoRR abs/2101.04043 (2021) - [i4]Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan:
A bandit-learning approach to multifidelity approximation. CoRR abs/2103.15342 (2021) - [i3]Yiming Xu, Akil Narayan:
Budget-limited distribution learning in multifidelity problems. CoRR abs/2105.04599 (2021) - [i2]Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu:
Probabilistic methods for approximate archetypal analysis. CoRR abs/2108.05767 (2021) - 2020
- [i1]Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster:
Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing. CoRR abs/2004.05873 (2020)
Coauthor Index
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