Friedman, Jerome

1. Strong rules for discarding predictors in lasso-type problems
   2010/11/09 by Robert Tibshirani, Jacob Bien, Tibshirani, Robert +12 · 7 citations
   Computer Science · Mathematics · #62J07 62G08 #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST) #math.ST #msc:62G08 #msc:62J07 #stat.ML #stat.TH
2. A Study of Error Variance Estimation in Lasso Regression
   2013/11/21 by Stephen Reid, Reid, Stephen, Robert Tibshirani +3 · 4 citations
   Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #stat.ME
3. A Blockwise Descent Algorithm for Group-penalized Multiresponse and Multinomial Regression
   2013/11/26 by Noah Simon, Jerome H. Friedman, Simon, Noah +4 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (stat.ML) #Molecular Biology Techniques and Applications #Statistical Methods and Inference #stat.CO #stat.ML
4. Sparse inverse covariance estimation with the lasso
   2007/08/27 by Jerome Friedman, Trevor Hastie, Friedman, Jerome +3 · 1 citation
   Mathematics · #C5C60 #FOS: Computer and information sciences #Methodology (stat.ME) #msc:C5C60 #stat.ME
5. A Pliable Lasso
   2017/12/01 by Robert Tibshirani, Tibshirani, Robert, J. Friedman +1 · 1 citation
   Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference