Robert Tibshirani
According to our database^{1},
Robert Tibshirani
authored at least 31 papers
between 1995 and 2017.
Collaborative distances:
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at zbmath.org

at viaf.org

at orcid.org

at isni.org

at id.loc.gov

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On csauthors.net:
Bibliography
2017
Chemical Space Mimicry for Drug Discovery.
Journal of Chemical Information and Modeling, 2017
2016
An Ordered Lasso and Sparse TimeLagged Regression.
Technometrics, 2016
Data Shared Lasso: A novel tool to discover uplift.
Computational Statistics & Data Analysis, 2016
Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016
2013
Scientific research in the age of omics: the good, the bad, and the sloppy.
JAMIA, 2013
A Component Lasso.
CoRR, 2013
2011
NearlyIsotonic Regression.
Technometrics, 2011
Supervised multidimensional scaling for visualization, classification, and bipartite ranking.
Computational Statistics & Data Analysis, 2011
2010
Spectral Regularization Algorithms for Learning Large Incomplete Matrices.
Journal of Machine Learning Research, 2010
DRIntegrator: a new analytic tool for integrating DNA copy number and gene expression data.
Bioinformatics, 2010
2009
Estimation of Sparse Binary Pairwise Markov Networks using Pseudolikelihoods.
Journal of Machine Learning Research, 2009
The elements of statistical learning: data mining, inference, and prediction, 2nd Edition.
Springer series in statistics, Springer, ISBN: 9780387848570, 2009
2008
Regularization paths and coordinate descent.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
2007
Margin Trees for Highdimensional Classification.
Journal of Machine Learning Research, 2007
Diseasespecific genomic analysis: identifying the signature of pathologic biology.
Bioinformatics, 2007
2006
A simple method for assessing sample sizes in microarray experiments.
BMC Bioinformatics, 2006
2004
The Entire Regularization Path for the Support Vector Machine.
Journal of Machine Learning Research, 2004
Cancer characterization and feature set extraction by discriminative margin clustering.
BMC Bioinformatics, 2004
Sample classification from protein mass spectrometry, by 'peak probability contrasts'.
Bioinformatics, 2004
The Entire Regularization Path for the Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Boosted PRIM with Application to Searching for Oncogenic Pathway of Lung Cancer.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
2003
Machine learning methods applied to DNA microarray data can improve the diagnosis of cancer.
SIGKDD Explorations, 2003
Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma.
Neural Computation, 2003
1norm Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
2002
Independent Components Analysis through Product Density Estimation.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001
Missing value estimation methods for DNA microarrays.
Bioinformatics, 2001
1998
Coaching variables for regression and classification.
Statistics and Computing, 1998
1997
Classification by Pairwise Coupling.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
1996
Discriminant Adaptive Nearest Neighbor Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 1996
1995
Discriminant Adaptive Nearest Neighbor Classification and Regression.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Discriminant Adaptive Nearest Neighbor Classification.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD95), 1995