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Rui Tuo

Identifiers

  • name variant Rui Tuo 0.60 · backfill

Papers (31)

  1. SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning cs.LG · 2026 · author #2
  2. Statistical Validation of Computer Models: Global and Subdomain Hypothesis Testing stat.ME · 2026 · author #3
  3. From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation cs.LG · 2025 · author #4
  4. Inverse Design of Nonlinear Mechanics of Bio-inspired Materials Through Interface Engineering and Bayesian Optimization cond-mat.mtrl-sci · 2024 · author #6
  5. Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner stat.CO · 2024 · author #2
  6. Fixed-budget optimal designs for multi-fidelity computer experiments stat.ME · 2024 · author #2
  7. Asymptotic Theory for Linear Functionals of Kernel Ridge Regression math.ST · 2024 · author #1
  8. Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction cs.LG · 2022 · author #4
  9. Hypothesis Tests with Functional Data for Surface Quality Change Detection in Surface Finishing Processes stat.ME · 2022 · author #2
  10. Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Mat\'ern Correlations stat.ML · 2022 · author #3
  11. A Sparse Expansion For Deep Gaussian Processes stat.ML · 2021 · author #2
  12. High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids stat.ML · 2021 · author #2
  13. A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models stat.ME · 2021 · author #1
  14. The temporal overfitting problem with applications in wind power curve modeling stat.AP · 2020 · author #2
  15. High-Dimensional Non-Parametric Density Estimation in Mixed Smooth Sobolev Spaces cs.LG · 2020 · author #5
  16. Projection Pursuit Gaussian Process Regression stat.ML · 2020 · author #2
  17. Gaussian process aided function comparison using noisy scattered data stat.ME · 2020 · author #2
  18. Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features cs.LG · 2020 · author #2
  19. Uncertainty Quantification for Bayesian Optimization math.ST · 2020 · author #1
  20. On the Improved Rates of Convergence for Mat\'ern-type Kernel Ridge Regression, with Application to Calibration of Computer Models math.ST · 2020 · author #1
  21. Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation stat.AP · 2019 · author #3
  22. Kriging prediction with isotropic Mat\'ern correlations: Robustness and experimental design math.ST · 2019 · author #1
  23. Differentially Private Change-Point Detection math.ST · 2018 · author #4
  24. Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs stat.CO · 2017 · author #5
  25. On Prediction Properties of Kriging: Uniform Error Bounds and Robustness math.ST · 2017 · author #2
  26. Adjustments to Computer Models via Projected Kernel Calibration stat.ME · 2017 · author #1
  27. Prediction based on the Kennedy-O'Hagan calibration model: asymptotic consistency and other properties math.ST · 2017 · author #1
  28. A finite element method for elliptic problems with observational boundary data math.NA · 2017 · author #2
  29. Stochastic Convergence of A Nonconforming Finite Element Method for the Thin Plate Spline Smoother for Observational Data math.NA · 2017 · author #2
  30. A theoretical framework for calibration in computer models: parametrization, estimation and convergence properties stat.ME · 2015 · author #1
  31. Efficient Calibration for Imperfect Computer Models stat.ME · 2015 · author #1

Mentions

  • 2403.04248 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2502.10540 #4 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2412.14071 #6 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2012.01349 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2408.00206 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2405.20644 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2002.01569 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2112.05888 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2211.09064 #4 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2004.00667 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2205.04431 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2003.07899 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2203.03116 #3 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2006.03696 #5 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2107.08595 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2107.08288 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1911.05570 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2002.04195 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 2001.00152 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1912.12569 #3 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1808.10056 #4 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1712.08929 #5 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1710.06959 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1705.03422 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1703.01326 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1508.07155 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1507.07280 #1 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1508.07155 #1 · backfill · confidence 0.70 Rui Tuo
  • 1702.05188 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1701.08626 #2 · arxiv_oai · confidence 0.70 Rui Tuo
  • 1507.07280 #1 · backfill · confidence 0.70 Rui Tuo
  • 2605.26509 #2 · arxiv_oai · confidence 0.70 Rui Tuo

Frequent Coauthors