Robert B. Gramacy

53 papers A* 2A 2C 1Journal 44Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active Learning of Piecewise Gaussian Process Surrogates. Technometrics Chiwoo Park, Robert Waelder, Bonggwon Kang, Benji Maruyama, Soondo Hong, Robert B. Gramacy
2026	J	`jnl`	Voronoi candidates for Bayesian optimization. J. Glob. Optim. Nathan Wycoff, John W. Smith, Annie S. Booth, Robert B. Gramacy
2025	J	`jnl`	Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models. CoRR Anna R. Flowers, Christopher T. Franck, Robert B. Gramacy, Justin A. Krometis
2025	J	`jnl`	Modular Jump Gaussian Processes. CoRR Anna R. Flowers, Christopher T. Franck, Mickaël Binois, Chiwoo Park, Robert B. Gramacy
2025	J	`jnl`	Monotonic warpings for additive and deep Gaussian processes. Stat. Comput. Steven D. Barnett, Lauren J. Beesley, Annie S. Booth, Robert B. Gramacy, Dave Osthus
2024	J	`jnl`	Augmenting a Simulation Campaign for Hybrid Computer Model and Field Data Experiments. Technometrics Scott Koermer, Justin Loda, Aaron Noble, Robert B. Gramacy
2024	J	`jnl`	Publishing an applied statistics paper: Guidance and advice from editors. Qual. Reliab. Eng. Int. Christine M. Anderson-Cook, Lu Lu, Robert B. Gramacy, L. Allison Jones-Farmer, Douglas C. Montgomery, William H. Woodall
2024	J	`jnl`	Voronoi Candidates for Bayesian Optimization. CoRR Nathan Wycoff, John W. Smith, Annie S. Booth, Robert B. Gramacy
2023	J	`jnl`	Active Learning for Deep Gaussian Process Surrogates. Technometrics Annie Sauer, Robert B. Gramacy, David Higdon
2023	J	`jnl`	Active Learning of Piecewise Gaussian Process Surrogates. CoRR Chiwoo Park, Robert Waelder, Bonggwon Kang, Benji Maruyama, Soondo Hong, Robert B. Gramacy
2023	J	`jnl`	Robust expected improvement for Bayesian optimization. CoRR Ryan B. Christianson, Robert B. Gramacy
2023	J	`jnl`	Traditional kriging versus modern Gaussian processes for large-scale mining data. Stat. Anal. Data Min. Ryan B. Christianson, Ryan M. Pollyea, Robert B. Gramacy
2023	J	`jnl`	Vecchia-Approximated Deep Gaussian Processes for Computer Experiments. J. Comput. Graph. Stat. Annie Sauer, Andrew Cooper, Robert B. Gramacy
2022	J	`jnl`	Large-scale local surrogate modeling of stochastic simulation experiments. Comput. Stat. Data Anal. D. Austin Cole, Robert B. Gramacy, Mike Ludkovski
2022	J	`jnl`	Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates. Technometrics Jiangeng Huang, Robert B. Gramacy
2022	J	`jnl`	Sensitivity Prewarping for Local Surrogate Modeling. Technometrics Nathan Wycoff, Mickaël Binois, Robert B. Gramacy
2022	A*	`conf`	Triangulation candidates for Bayesian optimization. NeurIPS Robert B. Gramacy, Annie Sauer, Nathan Wycoff
2021	J	`jnl`	Distance-Distributed Design for Gaussian Process Surrogates. Technometrics Boya Zhang, D. Austin Cole, Robert B. Gramacy
2021	J	`jnl`	Locally induced Gaussian processes for large-scale simulation experiments. Stat. Comput. D. Austin Cole, Ryan B. Christianson, Robert B. Gramacy
2021	J	`jnl`	Precision aggregated local models. Stat. Anal. Data Min. Adam M. Edwards, Robert B. Gramacy
2021	J	`jnl`	Sensitivity Prewarping for Local Surrogate Modeling. CoRR Nathan Wycoff, Mickaël Binois, Robert B. Gramacy
2021	J	`jnl`	Triangulation candidates for Bayesian optimization. CoRR Robert B. Gramacy, Annie Sauer, Nathan Wycoff
2021	J	`jnl`	hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R. J. Stat. Softw. Mickaël Binois, Robert B. Gramacy
2019	J	`jnl`	Emulating Satellite Drag from Large Simulation Experiments. SIAM/ASA J. Uncertain. Quantification Furong Sun, Robert B. Gramacy, Benjamin Haaland, Earl Lawrence, Andrew Walker
2019	J	`jnl`	Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes. SIAM J. Sci. Comput. Matthias Chung, Mickaël Binois, Robert B. Gramacy, Johnathan M. Bardsley, David J. Moquin, Amanda P. Smith, Amber M. Smith
2019	J	`jnl`	Replication or Exploration? Sequential Design for Stochastic Simulation Experiments. Technometrics Mickaël Binois, Jiangeng Huang, Robert B. Gramacy, Mike Ludkovski
2019	J	`jnl`	Synthesizing simulation and field data of solar irradiance. Stat. Anal. Data Min. Furong Sun, Robert B. Gramacy, Benjamin Haaland, Siyuan Lu, Youngdeok Hwang
2017	J	`jnl`	A Brief History of Long Memory: Hurst, Mandelbrot and the Road to ARFIMA, 1951-1980. Entropy Timothy Graves, Robert B. Gramacy, Nicholas W. Watkins, Christian L. E. Franzke
2016	—	`conf`	Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian. NIPS Victor Picheny, Robert B. Gramacy, Stefan M. Wild, Sébastien Le Digabel
2016	J	`jnl`	Modeling an Augmented Lagrangian for Blackbox Constrained Optimization. Technometrics Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild
2016	J	`jnl`	Rejoinder. Technometrics Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild
2016	J	`jnl`	Speeding Up Neighborhood Search in Local Gaussian Process Prediction. Technometrics Robert B. Gramacy, Benjamin Haaland
2015	J	`jnl`	Sequential Design for Optimal Stopping Problems. SIAM J. Financial Math. Robert B. Gramacy, Michael Ludkovski
2014	J	`jnl`	Gaussian Process Structural Equation Models with Latent Variables. CoRR Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy
2014	J	`jnl`	Massively Parallel Approximate Gaussian Process Regression. SIAM/ASA J. Uncertain. Quantification Robert B. Gramacy, Jarad Niemi, Robin Weiss
2013	C	`conf`	Active-learning-based surrogate models for empirical performance tuning. CLUSTER Prasanna Balaprakash, Robert B. Gramacy, Stefan M. Wild
2013	J	`jnl`	Bayesian quantile regression for single-index models. Stat. Comput. Yuao Hu, Robert B. Gramacy, Heng Lian
2013	J	`jnl`	Bayesian treed response surface models. WIREs Data Mining Knowl. Discov. Hugh A. Chipman, Edward I. George, Robert B. Gramacy, Robert E. McCulloch
2013	J	`jnl`	Comment: On Advances in Expected Improvement. Technometrics Robert B. Gramacy
2013	—	`conf`	Empirical performance modeling of GPU kernels using active learning. PARCO Prasanna Balaprakash, Karl Rupp, Azamat Mametjanov, Robert B. Gramacy, Paul D. Hovland, Stefan M. Wild
2013	J	`jnl`	Information-Theoretic Data Discarding for Dynamic Trees on Data Streams. Entropy Christoforos Anagnostopoulos, Robert B. Gramacy
2013	J	`jnl`	Massively parallel approximate Gaussian process regression. CoRR Robert B. Gramacy, Jarad Niemi, Robin Weiss
2012	J	`jnl`	Cases for the nugget in modeling computer experiments. Stat. Comput. Robert B. Gramacy, Herbert K. H. Lee
2012	J	`jnl`	Gaussian Process Single-Index Models as Emulators for Computer Experiments. Technometrics Robert B. Gramacy, Heng Lian
2011	J	`jnl`	Classification and Categorical Inputs with Treed Gaussian Process Models. J. Classif. Tamara Broderick, Robert B. Gramacy
2010	A	`conf`	Gaussian Process Structural Equation Models with Latent Variables. UAI Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy
2010	J	`jnl`	Importance tempering. Stat. Comput. Robert B. Gramacy, Richard Samworth, Ruth King
2009	J	`jnl`	Adaptive Design and Analysis of Supercomputer Experiments. Technometrics Robert B. Gramacy, Herbert K. H. Lee
2009	A	`conf`	MCMC Methods for Bayesian Mixtures of Copulas. AISTATS Ricardo Bezerra de Andrade e Silva, Robert B. Gramacy
2008	J	`jnl`	Gaussian processes and limiting linear models. Comput. Stat. Data Anal. Robert B. Gramacy, Herbert K. H. Lee
2004	A*	`conf`	Parameter space exploration with Gaussian process trees. ICML Robert B. Gramacy, Herbert K. H. Lee, William G. Macready
2002	—	`conf`	ACME: Adaptive Caching Using Multiple Experts. WDAS Ismail Ari, Ahmed Amer, Robert B. Gramacy, Ethan L. Miller, Scott A. Brandt, Darrell D. E. Long
2002	—	`conf`	Adaptive Caching by Refetching. NIPS Robert B. Gramacy, Manfred K. Warmuth, Scott A. Brandt, Ismail Ari