Publications

Preprints

1. Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search [arxiv]
   N. Cheng, A. Doostan, and S. Becker
   

2. Langevin Bi-fidelity Importance Sampling for Failure Probability Estimation [arxiv]
   N. Cheng and A. Doostan
   

3. Fast algorithms for monotone lower subsets of kronecker least squares problems [arxiv]
   O. A. Malik, Y. Xu, N. Cheng, S. Becker, A. Doostan, and A. Narayan
   

Journals

1. Subsampling of parametric models with bi-fidelity boosting [DOI]
   N. Cheng, O. A. Malik, Y. Xu, S. Becker, A. Doostan, and A. Narayan
   SIAM/ASA Journal on Uncertainty Quantification 2024

2. Bi-fidelity variational auto-encoder for uncertainty quantification [DOI]
   N. Cheng, O. A. Malik, S. De, S. Becker, A. Doostan
   Computer Methods in Applied Mechanics and Engineering 2024

3. Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma [DOI]
   N. Cheng, A. J. Schulte, F. Santosa, and J. H. Kim.
   Briefings in Bioinformatics 2021

Conference preceedings

1. Exploring Exploration in Bayesian Optimization [arxiv]
   L. Papenmeier, N. Cheng, S. Becker, L. Nardi
   UAI 2025

2. A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization [arxiv]
   N. Cheng, L. Papenmeier, S. Becker, L. Nardi
   ICML 2025 Spotlight (Top 2.6%)