According to our database1, Robert Tibshirani authored at least 30 papers between 1995 and 2019.
Legend:Book In proceedings Article PhD thesis Other
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.
Chemical Space Mimicry for Drug Discovery.
Journal of Chemical Information and Modeling, 2017
An Ordered Lasso and Sparse Time-Lagged Regression.
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
Scientific research in the age of omics: the good, the bad, and the sloppy.
Supervised multidimensional scaling for visualization, classification, and bipartite ranking.
Computational Statistics & Data Analysis, 2011
Spectral Regularization Algorithms for Learning Large Incomplete Matrices.
Journal of Machine Learning Research, 2010
DR-Integrator: a new analytic tool for integrating DNA copy number and gene expression data.
Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods.
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
Regularization paths and coordinate descent.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Margin Trees for High-dimensional Classification.
Journal of Machine Learning Research, 2007
Disease-specific genomic analysis: identifying the signature of pathologic biology.
A simple method for assessing sample sizes in microarray experiments.
BMC Bioinformatics, 2006
Cancer characterization and feature set extraction by discriminative margin clustering.
BMC Bioinformatics, 2004
Sample classification from protein mass spectrometry, by 'peak probability contrasts'.
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
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
1-norm Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Independent Components Analysis through Product Density Estimation.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Missing value estimation methods for DNA microarrays.
Coaching variables for regression and classification.
Statistics and Computing, 1998
Classification by Pairwise Coupling.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
A Comparison of Some Error Estimates for Neural Network Models.
Neural Computation, 1996
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 (KDD-95), 1995