Rui Tuo

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Experimental Designs

Differentially Private

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Mach. Learn. Res.

Publications

Liang Ding, Rui Tuo
A General Theory for Kernel Packets: from state space model to compactly supported basis. CoRR (2024)
Rui Tuo, Raktim Bhattacharya
Privacy-aware Gaussian Process Regression. CoRR (2023)
Abhinav Prakash, Rui Tuo, Yu Ding
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling. Technometrics 65 (1) (2023)
Rui Tuo, Wenjia Wang
Uncertainty Quantification for Bayesian Optimization. AISTATS (2022)
Gecheng Chen, Yu Zhou, Xudong Zhang, Rui Tuo
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction. CoRR (2022)
Abhinav Prakash, Rui Tuo, Yu Ding
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data. Technometrics 64 (1) (2022)
Haoyuan Chen, Liang Ding, Rui Tuo
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations. CoRR (2022)
Haoyuan Chen, Liang Ding, Rui Tuo
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations. J. Mach. Learn. Res. 23 (2022)
Liang Ding, Rui Tuo, Xiaowei Zhang
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids. CoRR (2021)
Liang Ding, Rui Tuo, Shahin Shahrampour
A Sparse Expansion For Deep Gaussian Processes. CoRR (2021)
Wanrong Zhang, Sara Krehbiel, Rui Tuo, Yajun Mei, Rachel Cummings
Single and Multiple Change-Point Detection with Differential Privacy. J. Mach. Learn. Res. 22 (2021)
Liang Ding, Rui Tuo, Shahin Shahrampour
Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs. CoRR (2020)
Rui Tuo, Wenjia Wang
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs. J. Mach. Learn. Res. 21 (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. ICML (2020)
Rui Tuo, Yan Wang, C. F. Jeff Wu
On the Improved Rates of Convergence for Matérn-Type Kernel Ridge Regression with Application to Calibration of Computer Models. SIAM/ASA J. Uncertain. Quantification 8 (4) (2020)
Liang Ding, Rui Tuo, Shahin Shahrampour
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features. CoRR (2020)
Gecheng Chen, Rui Tuo
Projection Pursuit Gaussian Process Regression. CoRR (2020)
Rui Tuo
Adjustments to Computer Models via Projected Kernel Calibration. SIAM/ASA J. Uncertain. Quantification 7 (2) (2019)
V. Roshan Joseph, Dianpeng Wang, Li Gu, Shiji Lyu, Rui Tuo
Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs. Technometrics 61 (3) (2019)
Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang
Differentially Private Change-Point Detection. CoRR (2018)
Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang
Differentially Private Change-Point Detection. NeurIPS (2018)
Zhiming Chen, Rui Tuo, Wenlong Zhang
Stochastic Convergence of a Nonconforming Finite Element Method for the Thin Plate Spline Smoother for Observational Data. SIAM J. Numer. Anal. 56 (2) (2018)
Xu He, Rui Tuo, C. F. Jeff Wu
Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion. Technometrics 59 (1) (2017)
Rui Tuo, C. F. Jeff Wu
A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties. SIAM/ASA J. Uncertain. Quantification 4 (1) (2016)
V. Roshan Joseph, Tirthankar Dasgupta, Rui Tuo, C. F. Jeff Wu
Sequential Exploration of Complex Surfaces Using Minimum Energy Designs. Technometrics 57 (1) (2015)
Matthew Plumlee, Rui Tuo
Building Accurate Emulators for Stochastic Simulations via Quantile Kriging. Technometrics 56 (4) (2014)
Rui Tuo, C. F. Jeff Wu, Dan Yu
Surrogate Modeling of Computer Experiments With Different Mesh Densities. Technometrics 56 (3) (2014)
Rui Tuo, Peter Z. G. Qian, C. F. Jeff Wu
Comment: A Brownian Motion Model for Stochastic Simulation With Tunable Precision. Technometrics 55 (1) (2013)