T
Trevor Hastie
Researcher at Stanford University
Publications - 428
Citations - 230646
Trevor Hastie is an academic researcher from Stanford University. The author has contributed to research in topics: Lasso (statistics) & Feature selection. The author has an hindex of 124, co-authored 412 publications receiving 202592 citations. Previous affiliations of Trevor Hastie include University of Waterloo & University of Toronto.
Papers
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Regularization Path Algorithms for Detecting Gene Interactions
Mee Young Park,Trevor Hastie +1 more
TL;DR: This study considers several regularization path algorithms with grouped variable selection for modeling gene-interactions and proposes a path-following algorithm for the group-Lasso method applied to generalized linear models.
Journal ArticleDOI
Ridge Regularizaton: an Essential Concept in Data Science
TL;DR: Ridge or more formally l2 regularization shows up in many areas of statistics and machine learning It is one of those essential devices that any good data scientist needs to master for their craft.
Book ChapterDOI
Cross-Validation and C p Estimates of Prediction Error
Bradley Efron,Trevor Hastie +1 more
Posted Content
Strong rules for discarding predictors in lasso-type problems
Robert Tibshirani,Jacob Bien,Jerome H. Friedman,Trevor Hastie,Noah Simon,Jonathan Taylor,Ryan J. Tibshirani +6 more
TL;DR: In this paper, the authors propose strong rules for discarding predictors in lasso regression and related problems, for computational efficiency, complemented with simple checks of the Karush- Kuhn-Tucker (KKT) conditions.