Ruda Zhang

21 papers A* 1Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models.
CoRR
Akash Yadav, Ruda Zhang
2025 J jnl
Nonparametric Stochastic Subspaces via the Bootstrap for Characterizing Model Error.
CoRR
Akash Yadav, Ruda Zhang
2025 A* conf
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding.
ICLR
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
2025 J jnl
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization.
CoRR
Bach Do, Nafeezat A. Ajenifuja, Taiwo A. Adebiyi, Ruda Zhang
2025 J jnl
Stochastic Subspace via Probabilistic Principal Component Analysis for Characterizing Model Error.
CoRR
Akash Yadav, Ruda Zhang
2024 J jnl
Automated design of nonreciprocal thermal emitters via Bayesian optimization.
CoRR
Bach Do, Sina Jafari Ghalekohneh, Taiwo A. Adebiyi, Bo Zhao, Ruda Zhang
2024 J jnl
Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies.
CoRR
Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang
2024 J jnl
Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies.
J. Comput. Inf. Sci. Eng.
Taiwo A. Adebiyi, Nafeezat A. Ajenifuja, Ruda Zhang
2024 J jnl
Epsilon-Greedy Thompson Sampling to Bayesian Optimization.
CoRR
Bach Do, Ruda Zhang
2024 J jnl
Epsilon-Greedy Thompson Sampling to Bayesian Optimization.
J. Comput. Inf. Sci. Eng.
Bach Do, Taiwo A. Adebiyi, Ruda Zhang
2024 J jnl
Gaussian Process Thompson Sampling via Rootfinding.
CoRR
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
2024 J jnl
Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization.
CoRR
Ruda Zhang, Negin Alemazkoor
2024 J jnl
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding.
CoRR
Taiwo A. Adebiyi, Bach Do, Ruda Zhang
2023 J jnl
Multi-fidelity Bayesian Optimization in Engineering Design.
CoRR
Bach Do, Ruda Zhang
2022 J jnl
Drivers Learn City-Scale Intra-Daily Dynamic Equilibrium.
IEEE Trans. Intell. Transp. Syst.
Ruda Zhang, Roger G. Ghanem
2022 J jnl
Gaussian Process Subspace Prediction for Model Reduction.
SIAM J. Sci. Comput.
Ruda Zhang, Simon Mak, David B. Dunson
2021 J jnl
Gaussian Process Subspace Regression for Model Reduction.
CoRR
Ruda Zhang, Simon Mak, David B. Dunson
2021 J jnl
Normal-Bundle Bootstrap.
SIAM J. Math. Data Sci.
Ruda Zhang, Roger G. Ghanem
2020 J jnl
Demand, Supply, and Performance of Street-Hail Taxi.
IEEE Trans. Intell. Transp. Syst.
Ruda Zhang, Roger G. Ghanem
2020 J jnl
Newton retraction as approximate geodesics on submanifolds.
CoRR
Ruda Zhang
2020 J jnl
Normal-bundle Bootstrap.
CoRR
Ruda Zhang, Roger G. Ghanem