A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions

Automatic Response Category Combination in Multinomial Logistic Regression

(2019) Bradley S. Price et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

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

(2018) Scott Powers et al.   STATISTICAL MODELLING

Binary relevance for multi-label learning: an overview

(2018) Min-Ling Zhang et al.   Frontiers of Computer Science

Sparse group lasso and high dimensional multinomial classification

(2013) Martin Vincent et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Dependent binary relevance models for multi-label classification

(2013) Elena Montañes et al.   PATTERN RECOGNITION

A Sparse-Group Lasso

(2012) Noah Simon et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

(2012) Sahand N. Negahban et al.   STATISTICAL SCIENCE

Caveolin 1 protein expression in renal cell carcinoma predicts survival

(2011) Sandra Steffens et al.   BMC Urology

Self-concordant analysis for logistic regression

(2010) Francis Bach   Electronic Journal of Statistics

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences