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Gramacy, Robert B.

  1. A Case Study Competition Among Methods for Analyzing Large Spatial Data
    2017/10/13 by Matthew J. Heaton, Heaton, Matthew J., Abhirup Datta +24 · 18 citations
    Environmental Science · Computer Science · #Soil Geostatistics and Mapping #Remote Sensing and LiDAR Applications #Data Management and Algorithms
  2. Bayesian treed Gaussian process models with an application to computer modeling
    2007/10/24 by Robert B. Gramacy, Herbert K. H. Lee, Gramacy, Robert B. +1 · 12 citations
    Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Simulation Techniques and Applications
  3. Local Gaussian Process Approximation for Large Computer Experiments
    2013/03/02 by Robert B. Gramacy, Gramacy, Robert B., Daniel W. Apley +1 · 11 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Optimal Experimental Design Methods
  4. Active Learning for Deep Gaussian Process Surrogates
    2020/12/15 by Sauer, Annie, Gramacy, Robert B., Higdon, David · 10 citations
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
  5. Vecchia-Approximated Deep Gaussian Processes for Computer Experiments
    2022/01/01 by Annie Sauer, Andrew I. Cooper, Sauer, Annie +3 · 6 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification
  6. Cases for the nugget in modeling computer experiments
    2010/07/26 by Robert B. Gramacy, Herbert K. H. Lee, Gramacy, Robert B. +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design
  7. Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian
    2016/05/31 by Picheny, Victor, Gramacy, Robert B., Wild, Stefan M. +1 · 3 citations
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML)
  8. Nonstationary Gaussian Process Surrogates
    2023/05/30 by Booth, Annie S., Andrew I. Cooper, Robert B. Gramacy +2 · 5 citations
    Computer Science · Environmental Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Air Quality Monitoring and Forecasting
  9. Adaptive design and analysis of supercomputer experiments
    2008/05/28 by Robert B. Gramacy, Herbert K. H. Lee, Gramacy, Robert B. +1 · 2 citations
    Computer Science · #Machine Learning and Algorithms #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference
  10. Dynamic Trees for Learning and Design
    2009/12/08 by Matthew A. Taddy, Robert B. Gramacy, Taddy, Matthew A. +3 · 2 citations
    Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Methodology (stat.ME) #Statistics Education and Methodologies
  11. Massively parallel approximate Gaussian process regression
    2013/10/18 by Robert B. Gramacy, Gramacy, Robert B., Jarad Niemi +3 · 2 citations
    Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #Control Systems and Identification #Distributed #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Parallel #and Cluster Computing (cs.DC)
  12. Triangulation candidates for Bayesian optimization
    2021/12/14 by Gramacy, Robert B., Sauer, Annie, Wycoff, Nathan · 3 citations
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Traditional kriging versus modern Gaussian processes for large-scale mining data
    2022/07/20 by Christianson, Ryan B., Pollyea, Ryan M., Gramacy, Robert B. · 3 citations
    #Applications (stat.AP) #FOS: Computer and information sciences
  14. Entropy-based adaptive design for contour finding and estimating reliability
    2021/05/24 by Cole, D. Austin, Gramacy, Robert B., Warner, James E. +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
  15. Importance Tempering
    2007/07/28 by Gramacy, Robert B., Samworth, Richard J., King, Ruth · 1 citation
    #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences
  16. Optimization Under Unknown Constraints
    2010/04/22 by Gramacy, Robert B., Lee, Herbert K. H. · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME)
  17. Gaussian process single-index models as emulators for computer experiments
    2010/09/22 by Robert B. Gramacy, Heng Lian, Gramacy, Robert B. +1 · 1 citation
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Optimal Experimental Design Methods
  18. Particle learning of Gaussian process models for sequential design and\n optimization
    2009/09/29 by Robert B. Gramacy, Gramacy, Robert B., Nicholas G. Polson +1 · 1 citation
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Advanced Multi-Objective Optimization Algorithms
  19. Efficient Bayesian inference for long memory processes
    2014/03/12 by Graves, Timothy, Gramacy, Robert B., Franzke, Christian +1 · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
  20. Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes
    2023/08/08 by Annie S. Booth, Booth, Annie S., S. Ashwin Renganathan +3 · 2 citations
    Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Advanced Multi-Objective Optimization Algorithms
  21. Synthesizing simulation and field data of solar irradiance
    2018/06/13 by Sun, Furong, Gramacy, Robert B., Haaland, Benjamin +2 · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences
  22. Distance-distributed design for Gaussian process surrogates
    2018/12/06 by Boya Zhang, Zhang, Boya, D. Austin Cole +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Optimal Experimental Design Methods
  23. Analyzing Stochastic Computer Models: A Review with Opportunities
    2020/02/04 by Evan Baker, Pierre Barbillon, Baker, Evan +23 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Methodology (stat.ME)
  24. Locally induced Gaussian processes for large-scale simulation\n experiments
    2020/08/28 by D. Austin Cole, Ryan Christianson, Cole, D. Austin +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Optimal Experimental Design Methods
  25. Robust expected improvement for Bayesian optimization
    2023/02/16 by Christianson, Ryan B., Gramacy, Robert B. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  26. Monotonic warpings for additive and deep Gaussian processes
    2024/08/02 by Lauren J. Beesley, Barnett, Steven D., Beesley, Lauren J. +6 · 2 citations
    Computer Science · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference
  27. Voronoi Candidates for Bayesian Optimization
    2024/02/07 by Wycoff, Nathan, Smith, John W., Booth, Annie S. +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Sensitivity Prewarping for Local Surrogate Modeling
    2021/01/15 by Wycoff, Nathan, Binois, Mickaël, Gramacy, Robert B. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)