Trevor J. Hastie
Orcid: 0000-0002-0164-3142Affiliations:
- Stanford University, Department of Statistics
According to our database1,
Trevor J. Hastie
authored at least 82 papers
between 1991 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent.
CoRR, 2024
Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank.
CoRR, 2024
2023
J. Stat. Softw., 2023
CoRR, 2023
2022
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays.
J. Mach. Learn. Res., 2022
J. Mach. Learn. Res., 2022
2021
Bioinform., November, 2021
Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis.
NeuroImage, 2021
Survival analysis on rare events using group-regularized multi-response Cox regression.
Bioinform., 2021
2020
The human connectome project for disordered emotional states: Protocol and rationale for a research domain criteria study of brain connectivity in young adult anxiety and depression.
NeuroImage, 2020
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.
Nat. Mach. Intell., 2020
CoRR, 2020
CoRR, 2020
2019
2018
2017
J. Am. Medical Informatics Assoc., 2017
Bioinform., 2017
2016
Proceedings of the 4th International Conference on Learning Representations, 2016
2015
J. Mach. Learn. Res., 2015
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility.
J. Am. Medical Informatics Assoc., 2015
Fast Algorithms for Learning with Long N-grams via Suffix Tree Based Matrix Multiplication.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
2014
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife.
J. Mach. Learn. Res., 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso.
J. Mach. Learn. Res., 2012
2011
2010
Dynamic visualization of statistical learning in the context of high-dimensional textual data.
J. Web Semant., 2010
Network-Based Elucidation of Human Disease Similarities Reveals Common Functional Modules Enriched for Pluripotent Drug Targets.
PLoS Comput. Biol., 2010
J. Mach. Learn. Res., 2010
2009
Bioinform., 2009
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition.
Springer Series in Statistics, Springer, ISBN: 9780387848570, 2009
2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in <i>l</i><sub>1</sub> Using Cauchy Random Projections.
J. Mach. Learn. Res., 2007
A Unified Near-Optimal Estimator For Dimension Reduction in l<sub>alpha</sub>(0 < alpha <= 2) Using Stable Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections
CoRR, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005
2004
J. Mach. Learn. Res., 2004
J. Mach. Learn. Res., 2004
Sample classification from protein mass spectrometry, by 'peak probability contrasts'.
Bioinform., 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
The Sentimental Factor: Improving Review Classification Via Human-Provided Information.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004
2003
Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma.
Neural Comput., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Document Recognition and Retrieval X, 2003
2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002
2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Springer Series in Statistics, Springer, ISBN: 978-0-387-21606-5, 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
1998
1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
1996
IEEE Trans. Pattern Anal. Mach. Intell., 1996
1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1994
Int. J. Pattern Recognit. Artif. Intell., 1994
Proceedings of the Advances in Neural Information Processing Systems 7, 1994
1991