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Rui Tuo

Identifiers

  • name variant Rui Tuo 0.60 · backfill

Papers (22)

  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. Hypothesis Tests with Functional Data for Surface Quality Change Detection in Surface Finishing Processes stat.ME · 2022 · author #2
  4. Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Mat\'ern Correlations stat.ML · 2022 · author #3
  5. High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids stat.ML · 2021 · author #2
  6. A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models stat.ME · 2021 · author #1
  7. High-Dimensional Non-Parametric Density Estimation in Mixed Smooth Sobolev Spaces cs.LG · 2020 · author #5
  8. Projection Pursuit Gaussian Process Regression stat.ML · 2020 · author #2
  9. Gaussian process aided function comparison using noisy scattered data stat.ME · 2020 · author #2
  10. Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features cs.LG · 2020 · author #2
  11. 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
  12. Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation stat.AP · 2019 · author #3
  13. Kriging prediction with isotropic Mat\'ern correlations: Robustness and experimental design math.ST · 2019 · author #1
  14. Differentially Private Change-Point Detection math.ST · 2018 · author #4
  15. Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs stat.CO · 2017 · author #5
  16. On Prediction Properties of Kriging: Uniform Error Bounds and Robustness math.ST · 2017 · author #2
  17. Adjustments to Computer Models via Projected Kernel Calibration stat.ME · 2017 · author #1
  18. Prediction based on the Kennedy-O'Hagan calibration model: asymptotic consistency and other properties math.ST · 2017 · author #1
  19. A finite element method for elliptic problems with observational boundary data math.NA · 2017 · author #2
  20. Stochastic Convergence of A Nonconforming Finite Element Method for the Thin Plate Spline Smoother for Observational Data math.NA · 2017 · author #2
  21. A theoretical framework for calibration in computer models: parametrization, estimation and convergence properties stat.ME · 2015 · author #1
  22. Efficient Calibration for Imperfect Computer Models stat.ME · 2015 · author #1

Mentions

  • 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