Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Generalized Matrix Factorization

Oct 06, 2020
Łukasz Kidziński, Francis K. C. Hui, David I. Warton, Trevor Hastie


  Access Paper or Ask Questions

Simultaneous Relevance and Diversity: A New Recommendation Inference Approach

Sep 27, 2020
Yifang Liu, Zhentao Xu, Qiyuan An, Yang Yi, Yanzhi Wang, Trevor Hastie

* 9 pages 

  Access Paper or Ask Questions

Feature-weighted elastic net: using "features of features" for better prediction

Jun 02, 2020
J. Kenneth Tay, Nima Aghaeepour, Trevor Hastie, Robert Tibshirani


  Access Paper or Ask Questions

Ridge Regularizaton: an Essential Concept in Data Science

May 30, 2020
Trevor Hastie

* 17 pages, 5 figures. This paper was invited by Technometrics to appear in a special section to celebrate the 50th anniversary of the 1970 original ridge paper by Hoerl and Kennard 

  Access Paper or Ask Questions

Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Apr 02, 2019
Trevor Hastie, Andrea Montanari, Saharon Rosset, Ryan J. Tibshirani

* 43 pages; 12 pdf figures 

  Access Paper or Ask Questions

Longitudinal data analysis using matrix completion

Sep 24, 2018
Łukasz Kidziński, Trevor Hastie


  Access Paper or Ask Questions

Saturating Splines and Feature Selection

Dec 04, 2017
Nicholas Boyd, Trevor Hastie, Stephen Boyd, Benjamin Recht, Michael Jordan

* Adding missing references and related work 

  Access Paper or Ask Questions

Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset

Oct 31, 2017
Alejandro Schuler, Ken Jung, Robert Tibshirani, Trevor Hastie, Nigam Shah


  Access Paper or Ask Questions

Some methods for heterogeneous treatment effect estimation in high-dimensions

Jul 01, 2017
Scott Powers, Junyang Qian, Kenneth Jung, Alejandro Schuler, Nigam H. Shah, Trevor Hastie, Robert Tibshirani


  Access Paper or Ask Questions

Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball

Jun 30, 2017
Scott Powers, Trevor Hastie, Robert Tibshirani


  Access Paper or Ask Questions

Telugu OCR Framework using Deep Learning

Feb 15, 2017
Rakesh Achanta, Trevor Hastie


  Access Paper or Ask Questions

Sparse Quadratic Discriminant Analysis and Community Bayes

Oct 19, 2016
Ya Le, Trevor Hastie

* Revised version (adding more experiments) 

  Access Paper or Ask Questions

Generalized Additive Model Selection

Jun 17, 2015
Alexandra Chouldechova, Trevor Hastie

* 23 pages, 10 figures 

  Access Paper or Ask Questions

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Oct 09, 2014
Trevor Hastie, Rahul Mazumder, Jason Lee, Reza Zadeh


  Access Paper or Ask Questions

Local case-control sampling: Efficient subsampling in imbalanced data sets

Sep 23, 2014
William Fithian, Trevor Hastie

* Annals of Statistics 2014, Vol. 42, No. 5, 1693-1724 
* Published in at http://dx.doi.org/10.1214/14-AOS1220 the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

  Access Paper or Ask Questions

Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife

Mar 29, 2014
Stefan Wager, Trevor Hastie, Bradley Efron

* To appear in Journal of Machine Learning Research (JMLR) 

  Access Paper or Ask Questions

A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression

Nov 26, 2013
Noah Simon, Jerome Friedman, Trevor Hastie


  Access Paper or Ask Questions

The Graphical Lasso: New Insights and Alternatives

Aug 07, 2012
Rahul Mazumder, Trevor Hastie

* This is a revised version of our previous manuscript with the same name ArXiv id: http://arxiv.org/abs/1111.5479 

  Access Paper or Ask Questions

Exact covariance thresholding into connected components for large-scale Graphical Lasso

Sep 15, 2011
Rahul Mazumder, Trevor Hastie

* Report Version 2 (adding more experiments and correcting minor typos) 

  Access Paper or Ask Questions

Strong rules for discarding predictors in lasso-type problems

Nov 24, 2010
Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, Ryan J. Tibshirani

* 5 

  Access Paper or Ask Questions

Regularization methods for learning incomplete matrices

Jun 11, 2009
Rahul Mazumder, Trevor Hastie, Rob Tibshirani

* 10 pages, 1 figure 

  Access Paper or Ask Questions