Friedman, Jerome

Greedy function approximation: A gradient boosting machine

Friedman, J. H. (2001) · The Annals of Statistics

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 30,731

The Elements of Statistical Learning

Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics

Statistical Methods and ApplicationsStatistical Methods and Inference

Cited by 25,970

The Elements of Statistical Learning

Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 24,162

Regularization Paths for Generalized Linear Models via Coordinate Descent

Friedman, J., Hastie, T., & Tibshirani, R. (2010) · Journal of Statistical Software

Statistical Methods and InferenceStochastic Gradient Optimization Techniques

Cited by 19,927

Classification And Regression Trees

Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · Routledge eBooks

Data Mining Algorithms and ApplicationsStatistical Methods and Inference

Cited by 11,417

Stochastic gradient boosting

Friedman, J. H. (2002) · Computational Statistics & Data Analysis

Statistical Methods and InferenceStochastic Gradient Optimization Techniques

Cited by 7,067

Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors)

Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics

Imbalanced Data Classification TechniquesStatistical Methods and Inference

Cited by 6,884

Sparse inverse covariance estimation with the graphical lasso

Friedman, J., Hastie, T., & Tibshirani, R. (2008) · Biostatistics

Statistical Methods and InferenceSparse and Compressive Sensing Techniques

Cited by 6,355

A Sparse-Group Lasso

Simon, N., Friedman, J., Hastie, T., & Tibshirani, R. (2013) · Journal of Computational and Graphical Statistics

Statistical Methods and InferenceSparse and Compressive Sensing Techniques

Cited by 1,380

Predictive learning via rule ensembles

Friedman, J. H., & Popescu, B. E. (2008) · The Annals of Applied Statistics

Explainable Artificial Intelligence (XAI)Data Mining Algorithms and Applications

Cited by 1,315

The role of statistics in the data revolution?

Friedman, J. H. (2001) · International Statistical Review

Big Data Technologies and ApplicationsStatistical Methods and Applications

Cited by 64