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ORCIDNuojin Cheng
2020 – today
- 2025
[i5]Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi:
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. CoRR abs/2501.18756 (2025)- 2024
- [j2]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) - [i4]Nuojin Cheng, Stephen Becker:
Variational Entropy Search for Adjusting Expected Improvement. CoRR abs/2402.11345 (2024) - 2023
- [i3]Nuojin Cheng, Osman Asif Malik, Stephen Becker, Alireza Doostan:
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification. CoRR abs/2305.16530 (2023) - 2022
- [i2]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) - [i1]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]Nuojin Cheng, Ashley J. Schulte, Fadil Santosa, Jong Hyuk Kim:
Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma. Briefings Bioinform. 22(4) (2021)
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