Ruda Zhang

Orcid: 0000-0002-2899-1008

According to our database1, Ruda Zhang authored at least 16 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization.
CoRR, July, 2025

Stochastic Subspace via Probabilistic Principal Component Analysis for Characterizing Model Error.
CoRR, April, 2025

Optimizing Posterior Samples for Bayesian Optimization via Rootfinding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Epsilon-Greedy Thompson Sampling to Bayesian Optimization.
J. Comput. Inf. Sci. Eng., 2024

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies.
J. Comput. Inf. Sci. Eng., 2024

Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization.
CoRR, 2024

Gaussian Process Thompson Sampling via Rootfinding.
CoRR, 2024

Automated design of nonreciprocal thermal emitters via Bayesian optimization.
CoRR, 2024

Epsilon-Greedy Thompson Sampling to Bayesian Optimization.
CoRR, 2024

2023
Multi-fidelity Bayesian Optimization in Engineering Design.
CoRR, 2023

2022
Drivers Learn City-Scale Intra-Daily Dynamic Equilibrium.
IEEE Trans. Intell. Transp. Syst., 2022

Gaussian Process Subspace Prediction for Model Reduction.
SIAM J. Sci. Comput., 2022

2021
Normal-Bundle Bootstrap.
SIAM J. Math. Data Sci., 2021

Gaussian Process Subspace Regression for Model Reduction.
CoRR, 2021

2020
Demand, Supply, and Performance of Street-Hail Taxi.
IEEE Trans. Intell. Transp. Syst., 2020

Newton retraction as approximate geodesics on submanifolds.
CoRR, 2020


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