Darren Homrighausen
Darren Homrighausen
Texas A&M Univeristy
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Year
Semi-supervised learning for photometric supernova classification
JW Richards, D Homrighausen, PE Freeman, CM Schafer, D Poznanski
Monthly Notices of the Royal Astronomical Society 419 (2), 1121-1135, 2012
572012
Surface enhanced Raman spectroscopy (SERS) for the discrimination of Arthrobacter strains based on variations in cell surface composition
KE Stephen, D Homrighausen, G DePalma, CH Nakatsu, J Irudayaraj
Analyst 137 (18), 4280-4286, 2012
382012
Leave-one-out cross-validation is risk consistent for lasso
D Homrighausen, DJ McDonald
Machine learning 97 (1-2), 65-78, 2014
302014
Leave-one-out cross-validation is risk consistent for lasso
D Homrighausen, DJ McDonald
Machine learning 97 (1-2), 65-78, 2014
302014
The lasso, persistence, and cross-validation
D Homrighausen, D McDonald
International Conference on Machine Learning, 1031-1039, 2013
292013
Regularization techniques for PSF-matching kernels-I. Choice of kernel basis
AC Becker, D Homrighausen, AJ Connolly, CR Genovese, R Owen, ...
Monthly Notices of the Royal Astronomical Society 425 (2), 1341-1349, 2012
212012
Risk consistency of cross-validation with lasso-type procedures
D Homrighausen, DJ McDonald
Statistica Sinica, 1017-1036, 2017
142017
On the Nyström and column-sampling methods for the approximate principal components analysis of large datasets
D Homrighausen, DJ McDonald
Journal of Computational and Graphical Statistics 25 (2), 344-362, 2016
132016
Image Co-Addition with Temporally Varying Kernels
D Homrighausen, CR Genovese, AJ Connolly, AC Becker, R Owen
Publications of the Astronomical Society of the Pacific 123 (907), 1117, 2011
82011
A study on tuning parameter selection for the high-dimensional lasso
D Homrighausen, DJ McDonald
Journal of Statistical Computation and Simulation 88 (15), 2865-2892, 2018
5*2018
Spectral approximations in machine learning
D Homrighausen, DJ McDonald
arXiv preprint arXiv:1107.4340, 2011
52011
Compressed and Penalized Linear Regression
D Homrighausen, DJ McDonald
Journal of Computational and Graphical Statistics 29 (2), 309-322, 2020
12020
Computationally efficient estimators for sequential and resolution-limited inverse problems
D Homrighausen, CR Genovese
Electronic Journal of Statistics 7, 2098-2130, 2013
2013
Efficient Estimators for Sequential and Resolution-Limited Inverse Problems
D Homrighausen, CR Genovese
arXiv preprint arXiv:1207.0538, 2012
2012
A BAYESIAN APPROACH TO PREDICTING RECESSIONS 36-724 PRELIMINARY REPORT
D PERCIVAL, D MCDONALD, D HOMRIGHAUSEN, ...
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Articles 1–15