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ORCIDGrace Wahba
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- affiliation: University of Wisconsin, USA
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2010 – 2019
- 2017
[c6]Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh:
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications. ICML 2017: 4170-4179- 2016
- [c5]Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson:
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. NIPS 2016: 2496-2504 - 2012
- [j6]Weiliang Shi, Grace Wahba, Rafael A. Irizarry, Héctor Corrada Bravo
, Stephen J. Wright:
The partitioned LASSO-patternsearch algorithm with application to gene expression data. BMC Bioinform. 13: 98 (2012) - 2011
- [c4]Shilin Ding, Grace Wahba, Xiaojin (Jerry) Zhu:
Learning Higher-Order Graph Structure with Features by Structure Penalty. NIPS 2011: 253-261 - [r1]Grace Wahba:
Smoothing Splines. International Encyclopedia of Statistical Science 2011: 1349-1353
2000 – 2009
- 2009
- [c3]Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba:
Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming. AISTATS 2009: 41-48 - 2007
- [p2]Gene H. Golub, Michael Heath, Grace Wahba:
Generalized cross-validation as a method for choosing a good ridge parameter. Milestones in Matrix Computation 2007: 202-212 - 2003
- [j5]John D. Carew, Grace Wahba, Xianhong Xie, Erik V. Nordheim, Mary Elizabeth Meyerand:
Optimal spline smoothing of fMRI time series by generalized cross-validation. NeuroImage 18(4): 950-961 (2003) - 2002
- [j4]Yi Lin, Yoonkyung Lee, Grace Wahba:
Support Vector Machines for Classification in Nonstandard Situations. Mach. Learn. 46(1-3): 191-202 (2002) - [j3]Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee:
Statistical Properties and Adaptive Tuning of Support Vector Machines. Mach. Learn. 48(1-3): 115-136 (2002) - 2000
- [j2]Jürgen Groß, Götz Trenkler, S.-O. Troschke, William F. Trench, David Callan, Grace Wahba, Robin J. Chapman, Luz M. DeAlba, John H. Lindsey II:
A Property of Some Normal Matrices: 10645. Am. Math. Mon. 107(2): 179-180 (2000)
1990 – 1999
- 1998
- [c2]Grace Wahba, Xiwu Lin, Fangyu Gao, Dong Xiang, Ronald Klein, Barbara E. Klein:
The Bias-Variance Tradeoff and the Randomized GACV. NIPS 1998: 620-626 - 1993
- [c1]Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, Barbara E. Klein:
Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation. NIPS 1993: 415-422 - 1991
- [j1]Chong Gu, Grace Wahba:
Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method. SIAM J. Sci. Comput. 12(2): 383-398 (1991) - [p1]Grace Wahba:
Multivariate Model Building With Additive Interaction and Tensor Product Thin Plate Splines. Curves and Surfaces 1991: 491-504 - 1990
- [b1]Grace Wahba:
Spline Models for Observational Data. SIAM 1990, ISBN 978-0-89871-244-5
Coauthor Index
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