Ruda Zhang

According to our database, Ruda Zhang authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention.

Akash Yadav, Taiwo A. Adebiyi, Ruda Zhang

CoRR, April, 2026

2025

Nonparametric Stochastic Subspaces via the Bootstrap for Characterizing Model Error.

Akash Yadav, Ruda Zhang

CoRR, December, 2025

Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models.

Akash Yadav, Ruda Zhang

CoRR, October, 2025

Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization.

Bach Do, Nafeezat A. Ajenifuja, Taiwo A. Adebiyi, Ruda Zhang

CoRR, July, 2025

Stochastic Subspace via Probabilistic Principal Component Analysis for Characterizing Model Error.

Akash Yadav, Ruda Zhang

CoRR, April, 2025

Optimizing Posterior Samples for Bayesian Optimization via Rootfinding.

Taiwo A. Adebiyi, Bach Do, Ruda Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Epsilon-Greedy Thompson Sampling to Bayesian Optimization.

Bach Do, Taiwo A. Adebiyi, Ruda Zhang

J. Comput. Inf. Sci. Eng., 2024

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies.

Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang

J. Comput. Inf. Sci. Eng., 2024

Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization.

Ruda Zhang, Negin Alemazkoor

CoRR, 2024

Gaussian Process Thompson Sampling via Rootfinding.

Taiwo A. Adebiyi, Bach Do, Ruda Zhang

CoRR, 2024

Automated design of nonreciprocal thermal emitters via Bayesian optimization.

Bach Do, Sina Jafari Ghalekohneh, Taiwo A. Adebiyi, Bo Zhao, Ruda Zhang

CoRR, 2024

Epsilon-Greedy Thompson Sampling to Bayesian Optimization.

Bach Do, Ruda Zhang

CoRR, 2024

2023

Multi-fidelity Bayesian Optimization in Engineering Design.

Bach Do, Ruda Zhang

CoRR, 2023

2022

Drivers Learn City-Scale Intra-Daily Dynamic Equilibrium.

Ruda Zhang, Roger G. Ghanem

IEEE Trans. Intell. Transp. Syst., 2022

Gaussian Process Subspace Prediction for Model Reduction.

Ruda Zhang, Simon Mak, David B. Dunson

SIAM J. Sci. Comput., 2022

2021

Normal-Bundle Bootstrap.

Ruda Zhang, Roger G. Ghanem

SIAM J. Math. Data Sci., 2021

Gaussian Process Subspace Regression for Model Reduction.

Ruda Zhang, Simon Mak, David B. Dunson

CoRR, 2021

2020

Demand, Supply, and Performance of Street-Hail Taxi.

Ruda Zhang, Roger G. Ghanem

IEEE Trans. Intell. Transp. Syst., 2020

Newton retraction as approximate geodesics on submanifolds.

Ruda Zhang

CoRR, 2020