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All publications by Trevor J. Hastie
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One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li, Kenneth W. Church and Trevor J. Hastie
Advances in Neural Information Processing Systems 21, 2008


A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections
Ping Li and Trevor J. Hastie
Advances in Neural Information Processing Systems 20, 2007


Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Ping Li, Kenneth W. Church and Trevor J. Hastie
Advances in Neural Information Processing Systems 19, 2006


A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning
Saharon Rosset, Ji Zhu, Hui Zou and Trevor J. Hastie
Advances in Neural Information Processing Systems 17, 2004


The Entire Regularization Path for the Support Vector Machine
Saharon Rosset, Robert Tibshirani, Ji Zhu and Trevor J. Hastie
Advances in Neural Information Processing Systems 17, 2004


Margin Maximizing Loss Functions
Saharon Rosset, Ji Zhu and Trevor J. Hastie
Advances in Neural Information Processing Systems 16, 2003


1-norm Support Vector Machines
Ji Zhu, Saharon Rosset, Robert Tibshirani and Trevor J. Hastie
Advances in Neural Information Processing Systems 16, 2003


Independent Components Analysis through Product Density Estimation
Robert Tibshirani and Trevor J. Hastie
Advances in Neural Information Processing Systems 15, 2002