Robert Tibshirani

According to our database1, Robert Tibshirani authored at least 31 papers between 1995 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

2017
Chemical Space Mimicry for Drug Discovery.
Journal of Chemical Information and Modeling, 2017

2016
An Ordered Lasso and Sparse Time-Lagged 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
Nearly-Isotonic 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

DR-Integrator: a new analytic tool for integrating DNA copy number and gene expression data.
Bioinformatics, 2010

2009
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

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 High-dimensional Classification.
Journal of Machine Learning Research, 2007

Disease-specific 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

1-norm 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 (KDD-95), 1995


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