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Learning Hierarchical Interactions at Scale: A Convex Optimization
  Approach

Learning Hierarchical Interactions at Scale: A Convex Optimization Approach

5 February 2019
Hussein Hazimeh
Rahul Mazumder
ArXivPDFHTML

Papers citing "Learning Hierarchical Interactions at Scale: A Convex Optimization Approach"

5 / 5 papers shown
Title
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Shibal Ibrahim
P. Radchenko
E. Ben-David
Rahul Mazumder
408
2
0
24 Aug 2021
Group Regularized Estimation under Structural Hierarchy
Group Regularized Estimation under Structural Hierarchy
Yiyuan She
Zhifeng Wang
He Jiang
91
48
0
17 Nov 2014
Lasso Screening Rules via Dual Polytope Projection
Lasso Screening Rules via Dual Polytope Projection
Jie Wang
Peter Wonka
Jieping Ye
84
239
0
16 Nov 2012
Strong rules for discarding predictors in lasso-type problems
Strong rules for discarding predictors in lasso-type problems
Robert Tibshirani
Jacob Bien
J. Friedman
Trevor Hastie
N. Simon
Jonathan E. Taylor
Robert Tibshirani
177
640
0
09 Nov 2010
Smoothing proximal gradient method for general structured sparse
  regression
Smoothing proximal gradient method for general structured sparse regression
Xinyu Chen
Qihang Lin
Seyoung Kim
J. Carbonell
Eric Xing
152
233
0
26 May 2010
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