Fetching the paper…
Reading the bibliography…
We present a unified framework for estimation and analysis of generalized additive models in high dimensions.
An empirical distribution function for sampling with incomplete information
Miriam Ayer, H Daniel Brunk, George M Ewing, WT Reid, and Edward Silverman · 1955
Earlier work this paper cites.
Generalized additive models , volume 43
Trevor J Hastie and Robert J Tibshirani · 1990
Earlier work this paper cites.
Spline Models for Observational Data
Grace Wahba · 1990
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
Robert J Tibshirani · 1996
Earlier work this paper cites.
Extremal eigenvalues of real symmetric matrices with entries in an interval
Xingzhi Zhan · 2005
Earlier work this paper cites.
Component selection and smoothing in multivariate nonparametric regression
Yi Lin and Hao Helen Zhang · 2006
Earlier work this paper cites.
Model selection and estimation in regression with grouped variables
Ming Yuan and Yi Lin · 2006
Earlier work this paper cites.
Gradient methods for minimizing composite objective function
Yurii Nesterov · 2007
Earlier work this paper cites.
High-dimensional generalized linear models and the lasso
Sara van de Geer · 2008
Earlier work this paper cites.
High-dimensional additive modeling
Lukas Meier, Sara van de Geer, and Peter Bühlmann · 2009
Earlier work this paper cites.
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
Garvesh Raskutti, Bin Yu, and Martin J Wainwright · 2009
Earlier work this paper cites.
Sparse additive models
Pradeep Ravikumar, John Lafferty, Han Liu, and Larry Wasserman · 2009
Cited alongside, same era.
On the conditions used to prove oracle results for the lasso
Sara van de Geer and Peter Bühlmann · 2009
Cited alongside, same era.
Regularization paths for generalized linear models via coordinate descent
Jerome H Friedman, Trevor J Hastie, and Robert J Tibshirani · 2010
Cited alongside, same era.
Sparsity in multiple kernel learning
Vladimir Koltchinskii and Ming Yuan · 2010
Cited alongside, same era.
The Lasso with within group structure , volume 7 of IMS Collections , pages 235–244
Sara van de Geer · 2010
Cited alongside, same era.
Statistics for high-dimensional data: methods, theory and applications
Peter Bühlmann and Sara van de Geer · 2011
Cited alongside, same era.
glmgen: Fast algorithms for generalized lasso problems , 2014
Taylor Arnold, Veeranjaneyulu Sadhanala, and Ryan Tibshirani · 2014
Later among the works it cites.
Proximal algorithms
Neal Parikh and Stephen Boyd · 2014
Later among the works it cites.
SAM: Sparse Additive Modelling , 2014
Tuo Zhao, Xingguo Li, Han Liu, and Kathryn Roeder · 2014
Later among the works it cites.
Generalized Additive Model Selection
A. Chouldechova and T. Hastie · 2015
Later among the works it cites.
Sparse partially linear additive models
Yin Lou, Jacob Bien, Rich Caruana, and Johannes Gehrke · 2015
Later among the works it cites.
Fast and flexible admm algorithms for trend filtering
Aaditya Ramdas and Ryan J Tibshirani · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers
Sahand Negahban, Pradeep Ravikumar, Martin J Wainwright, and Bin Yu · 2011
Cited alongside, same era.
Nonparametric independence screening in sparse ultra-high-dimensional additive models
Jianqing Fan, Yang Feng, and Rui Song · 2012
Cited alongside, same era.
Minimax-optimal rates for sparse additive models over kernel classes via convex programming
Garvesh Raskutti, Martin J Wainwright, and Bin Yu · 2012
Cited alongside, same era.
Group sparse additive models
Junming Yin, Xi Chen, and Eric P Xing · 2012
Cited alongside, same era.
A dynamic programming algorithm for the fused lasso and l 0-segmentation
Nicholas A Johnson · 2013
Cited alongside, same era.
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Amir Beck and Marc Teboulle
Cited in the paper.
Ming Yuan and Ding-Xuan Zhou · 2015
Later among the works it cites.
Fused lasso additive model
Ashley Petersen, Daniela Witten, and Noah Simon · 2016
Later among the works it cites.
On the prediction performance of the lasso
Arnak S. Dalalyan, Mohamed Hebiri, and Johannes Lederer · 2017
Later among the works it cites.
Additive models with trend filtering
Veeranjaneyulu Sadhanala and Ryan J Tibshirani · 2018
Later among the works it cites.