| 2013 | AISTATS | Structure Learning of Mixed Graphical Models. | Jason D. Lee, Trevor Hastie |
| 2008 | KDD | Regularization paths and coordinate descent. | Trevor Hastie, Jerome H. Friedman, Robert Tibshirani |
| 2007 | COLT | Nonlinear Estimators and Tail Bounds for Dimension Reduction in | Ping Li, Trevor Hastie, Kenneth Ward Church |
| 2006 | COLT | Improving Random Projections Using Marginal Information. | Ping Li, Trevor Hastie, Kenneth Ward Church |
| 2006 | KDD | Very sparse random projections. | Ping Li, Trevor Hastie, Kenneth Ward Church |
| 2004 | ACL | The Sentimental Factor: Improving Review Classification Via Human-Provided Information. | Philip Beineke, Trevor Hastie, Shivakumar Vaithyanathan |
| 1998 | RECOMB | Regression analysis of multiple protein structures. | Thomas D. Wu, Trevor Hastie, Scott C. Schmidler, Douglas L. Brutlag |
| 1997 | KDD | Discriminative vs Informative Learning. | Y. Dan Rubinstein, Trevor Hastie |
| 1995 | KDD | Discriminant Adaptive Nearest Neighbor Classification. | Trevor Hastie, Robert Tibshirani |
| 1990 | ECCV | 3-D Curve Matching Using Splines. | Eyal Kishon, Trevor Hastie, Haim J. Wolfson |