Nuojin Cheng

ML Engineer, Google

Joined

February 2024

Names

Nuojin Cheng (Preferred)

Emails

****@colorado.edu (Confirmed)

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

ML Engineer

Google (google.com)

2025 – Present

PhD student

Department of Applied Mathematics, University of Colorado at Boulder (colorado.edu)

2020 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Stephen Becker

2020 – 2025

PhD Advisor

Alireza Doostan

2020 – 2025

Expertise

Uncertainty Quantification

Present

Efficient LLM

Present

ML System

Present

Probabilistic Machine Learning

Present

Publications

Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Nuojin Cheng, Alireza Doostan, Stephen Becker
- Accepted by TMLR
- Readers: Everyone
Exploring Exploration in Bayesian Optimization
Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
- UAI 2025 Poster
- Readers: Everyone
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
- ICML 2025 oral
- Readers: Everyone
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
- Readers: Everyone
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Nuojin Cheng, Osman Asif Malik, Stephen Becker, Alireza Doostan
- CoRR 2023
- Readers: Everyone
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
- Readers: Everyone
Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma
Nuojin Cheng, Ashley J. Schulte, Fadil Santosa, Jong Hyuk Kim
- Briefings Bioinform. 2021
- Readers: Everyone

Nuojin Cheng

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search

Exploring Exploration in Bayesian Optimization

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization

Subsampling of Parametric Models with Bifidelity Boosting

Bi-fidelity Variational Auto-encoder for Uncertainty Quantification

Fast Algorithms for Monotone Lower Subsets of Kronecker Least Squares Problems

Machine learning application identifies novel gene signatures from transcriptomic data of spontaneous canine hemangiosarcoma

Co-Authors