Learning interactions through hierarchical group-lasso regularization

The Analysis of Variance

Scheffe, L. (1959) · 1959

Earlier work this paper cites.

A decision-theoretic generalization of on-line learning and an application to boosting

Freund, Y. and Schapire, R. E. (1995) · 1995

Earlier work this paper cites.

Regression shrinkage and selection via the lasso

Tibshirani, R. (1996) · 1996

Earlier work this paper cites.

Greedy Function Approximation: A Gradient Boosting Machine

Friedman, J. H. (2000) · 2000

Earlier work this paper cites.

Logic regression

Ruczinski I, Kooperberg C, L. M. (2003) · 2003

Earlier work this paper cites.

Model selection and estimation in regression with grouped variables

Yuan, M. and Lin, Y. (2006) · 2006

Earlier work this paper cites.

Problem 3: Simulated rheumatoid arthritis data

Miller, M., Li, M., Lind, G., and Jang, S.-Y. (2007) · 2007

Cited alongside, same era.

Identification of snp interactions using logic regression

Schwender, H. and Ickstadt, K. (2008) · 2008

Cited alongside, same era.

A fast iterative shrinkage-thresholding algorithm for linear inverse problems

Beck, A. and Teboulle, M. (2009) · 2009

Cited alongside, same era.

Collaborative filtering with temporal dynamics

Koren, Y. (2009) · 2009

Cited alongside, same era.

Grouped and hierarchical model selection through composite absolute penalties

Zhao, P., Rocha, G., and Yu, B. (2009) · 2009

Cited alongside, same era.

Templates for convex cone problems with applications to sparse signal recovery

Becker, S., Candes, E., and Grant, M. (2011) · 2011

Cited alongside, same era.

Methods for identifying snp interactions: A review on variations of logic regression, random forest and bayesian logistic regression

Chen, C., Schwender, H., Keith, J., Nunkesser, R., Mengersen, K., and Macrossan, P. (2011) · 2011

Later among the works it cites.

Adaptive restart for accelerated gradient schemes

O’Donoghue, B. and Candes, E. (2012) · 2012

Later among the works it cites.

Strong rules for discarding predictors in lasso-type problems

Tibshirani et al, R. (2012) · 2012

Later among the works it cites.

A lasso for hierarchical interactions

Bien et al, J. (2013) · 2013

Closest in time.

A sparse-group lasso

Simon, N., Friedman, J., Hastie, T., and Tibshirani, R. (2013) · 2013

Closest in time.