Wahba, Grace

8 publications

ICML 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

NeurIPS 2016 Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease Hao Zhou, Vamsi K Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C Johnson

NeurIPS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty Shilin Ding, Grace Wahba, Xiaojin Zhu

AISTATS 2009 Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming Hector Corrada Bravo, Stephen Wright, Kevin Eng, Sunduz Keles, Grace Wahba

MLJ 2002 Statistical Properties and Adaptive Tuning of Support Vector Machines Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee

MLJ 2002 Support Vector Machines for Classification in Nonstandard Situations Yi Lin, Yoonkyung Lee, Grace Wahba

NeurIPS 1998 The Bias-Variance Tradeoff and the Randomized GACV Grace Wahba, Xiwu Lin, Fangyu Gao, Dong Xiang, Ronald Klein, Barbara Klein

NeurIPS 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 Md, Barbara Klein Md