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ORCIDHerbert K. H. Lee
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2020 – today
- 2023
[j23]Dylan C. Friel, Yunzhe Li, Benjamin Ellis, Daniel R. Jeske
, Herbert K. H. Lee, Philip H. Kass:
A neutral zone classifier for three classes with an application to text mining. Stat. Anal. Data Min. 16(6): 560-568 (2023)- 2022
- [j22]Tony Pourmohamad, Herbert K. H. Lee:
Bayesian Optimization Via Barrier Functions. J. Comput. Graph. Stat. 31(1): 74-83 (2022) - 2021
- [j21]Rui Meng, Braden Soper, Herbert K. H. Lee, Vincent X. Liu, John D. Greene, Priyadip Ray:
Nonstationary multivariate Gaussian processes for electronic health records. J. Biomed. Informatics 117: 103698 (2021) - 2020
- [j20]Tony Pourmohamad, Herbert K. H. Lee:
The Statistical Filter Approach to Constrained Optimization. Technometrics 62(3): 303-312 (2020)
2010 – 2019
- 2019
- [j19]Waley Wei Jie Liang, Herbert K. H. Lee:
Bayesian nonstationary Gaussian process models via treed process convolutions. Adv. Data Anal. Classif. 13(3): 797-818 (2019) - [i1]Rui Meng, Herbert K. H. Lee, Braden Soper, Priyadip Ray:
Regularized Sparse Gaussian Processes. CoRR abs/1910.05843 (2019) - 2017
- [j18]Brenton Blair, Herbert K. H. Lee, Misty D. Davies:
Real-Time Detection of In-flight Aircraft Damage. J. Classif. 34(3): 494-513 (2017) - 2016
- [j17]Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild:
Modeling an Augmented Lagrangian for Blackbox Constrained Optimization. Technometrics 58(1): 1-11 (2016) - [j16]Robert B. Gramacy, Genetha A. Gray, Sébastien Le Digabel, Herbert K. H. Lee, Pritam Ranjan, Garth N. Wells, Stefan M. Wild:
Rejoinder. Technometrics 58(1): 26-29 (2016) - 2013
- [j15]Tracy Holsclaw, Bruno Sansó, Herbert K. H. Lee, Katrin Heitmann, Salman Habib, David Higdon, Ujjaini Alam:
Gaussian Process Modeling of Derivative Curves. Technometrics 55(1): 57-67 (2013) - 2012
- [j14]Genetha A. Gray, Herbert K. H. Lee, John Guenther:
Simultaneous optimization and uncertainty quantification. J. Comput. Methods Sci. Eng. 12(1-2): 99-110 (2012) - [j13]Robert B. Gramacy, Herbert K. H. Lee:
Cases for the nugget in modeling computer experiments. Stat. Comput. 22(3): 713-722 (2012) - [j12]Herbert K. H. Lee:
Comment. Technometrics 54(3): 231-232 (2012) - [c3]Yuning He, Herbert K. H. Lee, Misty D. Davies:
Towards Validation of an Adaptive Flight Control Simulation Using Statistical Emulation. Infotech@Aerospace 2012 - 2011
- [r1]Herbert K. H. Lee:
Gaussian Processes. International Encyclopedia of Statistical Science 2011: 575-577 - 2010
- [j11]Herbert K. H. Lee, Matthew Taddy, Genetha A. Gray:
Selection of a Representative Sample. J. Classif. 27(1): 41-53 (2010)
2000 – 2009
- 2009
- [j10]Robert B. Gramacy, Herbert K. H. Lee:
Adaptive Design and Analysis of Supercomputer Experiments. Technometrics 51(2): 130-145 (2009) - [j9]Matthew Taddy, Herbert K. H. Lee, Genetha A. Gray, Joshua D. Griffin:
Bayesian Guided Pattern Search for Robust Local Optimization. Technometrics 51(4): 389-401 (2009) - 2008
- [j8]Robert B. Gramacy, Herbert K. H. Lee:
Gaussian processes and limiting linear models. Comput. Stat. Data Anal. 53(1): 123-136 (2008) - 2007
- [j7]Herbert K. H. Lee:
Default Priors for Neural Network Classification. J. Classif. 24(1): 53-70 (2007) - 2004
- [b1]Herbert K. H. Lee:
Bayesian nonparametrics via neural networks. ASA-SIAM series on statistics and applied probability 13, SIAM 2004, ISBN 978-0-89871-563-7, pp. I-IX, 1-96 - [j6]Herbert K. H. Lee, Merlise A. Clyde:
Lossless Online Bayesian Bagging. J. Mach. Learn. Res. 5: 143-151 (2004) - [c2]Robert B. Gramacy, Herbert K. H. Lee, William G. Macready:
Parameter space exploration with Gaussian process trees. ICML 2004 - 2003
- [j5]Herbert K. H. Lee:
A Noninformative Prior for Neural Networks. Mach. Learn. 50(1-2): 197-212 (2003) - 2002
- [j4]Herbert K. H. Lee, David M. Higdon, Zhuoxin Bi, Marco A. R. Ferreira, Mike West:
Markov Random Field Models for High-Dimensional Parameters in Simulations of Fluid Flow in Porous Media. Technometrics 44(3): 230-241 (2002) - [j3]Dave Higdon, Herbert K. H. Lee, Zhuoxin Bi:
A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale information. IEEE Trans. Signal Process. 50(2): 389-399 (2002) - 2001
- [j2]Herbert K. H. Lee:
Model Selection for Neural Network Classification. J. Classif. 18(2): 227-243 (2001) - [c1]Merlise A. Clyde, Herbert K. H. Lee:
Bagging and the Bayesian Bootstrap. AISTATS 2001: 57-62 - 2000
- [j1]Herbert K. H. Lee:
Consistency of posterior distributions for neural networks. Neural Networks 13(6): 629-642 (2000)
Coauthor Index
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