Grace Wahba

According to our database, Grace Wahba authored at least 16 papers between 1990 and 2017.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2017

When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications.

Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease.

Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2012

The partitioned LASSO-patternsearch algorithm with application to gene expression data.

Weiliang Shi, Grace Wahba, Rafael A. Irizarry, Héctor Corrada Bravo, Stephen J. Wright

BMC Bioinform., 2012

2011

Smoothing Splines.

Grace Wahba

Proceedings of the International Encyclopedia of Statistical Science, 2011

Learning Higher-Order Graph Structure with Features by Structure Penalty.

Shilin Ding, Grace Wahba, Xiaojin (Jerry) Zhu

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009

Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming.

Héctor Corrada Bravo, Stephen J. Wright, Kevin H. Eng, Sündüz Keles, Grace Wahba

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2007

Generalized cross-validation as a method for choosing a good ridge parameter.

Gene H. Golub, Michael Heath, Grace Wahba

Proceedings of the Milestones in Matrix Computation, 2007

2003

Optimal spline smoothing of fMRI time series by generalized cross-validation.

John D. Carew, Grace Wahba, Xianhong Xie, Erik V. Nordheim, Mary Elizabeth Meyerand

NeuroImage, 2003

2002

Statistical Properties and Adaptive Tuning of Support Vector Machines.

Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee

Mach. Learn., 2002

Support Vector Machines for Classification in Nonstandard Situations.

Yi Lin, Yoonkyung Lee, Grace Wahba

Mach. Learn., 2002

2000

A Property of Some Normal Matrices: 10645.

Jürgen Groß, Götz Trenkler, S.-O. Troschke, William F. Trench, David Callan, Grace Wahba, Robin J. Chapman, Luz M. DeAlba, John H. Lindsey II

Am. Math. Mon., 2000

1998

The Bias-Variance Tradeoff and the Randomized GACV.

Grace Wahba, Xiwu Lin, Fangyu Gao, Dong Xiang, Ronald Klein, Barbara E. Klein

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1993

Structured Machine Learning for Soft Classification with Smoothing Spline ANOVA and Stacked Tuning, Testing, and Evaluation.

Grace Wahba, Yuedong Wang, Chong Gu, Ronald Klein, Barbara E. Klein

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1991

Minimizing GCV/GML Scores with Multiple Smoothing Parameters via the Newton Method.

Chong Gu, Grace Wahba

SIAM J. Sci. Comput., 1991

Multivariate Model Building With Additive Interaction and Tensor Product Thin Plate Splines.

Grace Wahba

Proceedings of the Curves and Surfaces, 1991

1990

Spline Models for Observational Data.

Grace Wahba

SIAM, ISBN: 978-1-61197-012-8, 1990