Hastie, Trevor

22 publications

JMLR 2022 LinCDE: Conditional Density Estimation via Lindsey's Method Zijun Gao, Trevor Hastie

JMLR 2015 Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares Trevor Hastie, Rahul Mazumder, Jason D. Lee, Reza Zadeh

JMLR 2014 Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife Stefan Wager, Trevor Hastie, Bradley Efron

NeurIPS 2013 Compressive Feature Learning Hristo S Paskov, Robert West, John C Mitchell, Trevor Hastie

AISTATS 2013 Structure Learning of Mixed Graphical Models Jason D. Lee, Trevor Hastie

JMLR 2012 Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso Rahul Mazumder, Trevor Hastie

JMLR 2010 Spectral Regularization Algorithms for Learning Large Incomplete Matrices Rahul Mazumder, Trevor Hastie, Robert Tibshirani

JMLR 2007 Margin Trees for High-Dimensional Classification Robert Tibshirani, Trevor Hastie

COLT 2007 Nonlinear Estimators and Tail Bounds for Dimension Reduction in L 1 Using Cauchy Random Projections Ping Li, Trevor Hastie, Kenneth Ward Church

COLT 2006 Improving Random Projections Using Marginal Information Ping Li, Trevor Hastie, Kenneth Ward Church

JMLR 2004 Boosting as a Regularized Path to a Maximum Margin Classifier Saharon Rosset, Ji Zhu, Trevor Hastie

JMLR 2004 The Entire Regularization Path for the Support Vector Machine Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu

NeCo 2003 Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma Trevor Hastie, Robert Tibshirani, Jerome H. Friedman

NeurIPS 2002 Independent Components Analysis Through Product Density Estimation Trevor Hastie, Rob Tibshirani

NeurIPS 2001 Kernel Logistic Regression and the Import Vector Machine Ji Zhu, Trevor Hastie

NeurIPS 2000 Learning and Tracking Cyclic Human Motion Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie

NeurIPS 1999 Optimal Kernel Shapes for Local Linear Regression Dirk Ormoneit, Trevor Hastie

NeurIPS 1997 Classification by Pairwise Coupling Trevor Hastie, Robert Tibshirani

NeurIPS 1997 The Error Coding and Substitution PaCTs Gareth James, Trevor Hastie

NeurIPS 1995 Discriminant Adaptive Nearest Neighbor Classification and Regression Trevor Hastie, Robert Tibshirani

NeurIPS 1994 Learning Prototype Models for Tangent Distance Trevor Hastie, Patrice Simard

ECCV 1990 3-D Curve Matching Using Splines Eyal Kishon, Trevor Hastie, Haim J. Wolfson