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All publications by Trevor Hastie
authors venues years



Compressive Feature Learning
Hristo S. Paskov, Robert West, John C. Mitchell and Trevor Hastie
Advances in Neural Information Processing Systems 26, 2013


Margin Trees for High-dimensional Classification
Robert Tibshirani and Trevor Hastie
Journal of Machine Learning Research, 2007


Nonlinear Estimators and Tail Bounds for Dimension Reduction in {\it l}$_{\mbox{1}}$ Using Cauchy Random Projections
Ping Li, Trevor Hastie and Kenneth W. Church
Journal of Machine Learning Research, 2007


Boosting as a Regularized Path to a Maximum Margin Classifier
Saharon Rosset, Ji Zhu and Trevor Hastie
Journal of Machine Learning Research, 2004


The Entire Regularization Path for the Support Vector Machine
Trevor Hastie, Saharon Rosset, Robert Tibshirani and Ji Zhu
Journal of Machine Learning Research, 2004


Kernel Logistic Regression and the Import Vector Machine
Ji Zhu and Trevor Hastie
Advances in Neural Information Processing Systems 14, 2001