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FAST: An Optimization Framework for Fast Additive Segmentation in
  Transparent ML

FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML

20 February 2024
Brian Liu
Rahul Mazumder
ArXiv (abs)PDFHTML

Papers citing "FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML"

6 / 6 papers shown
Title
Interpretable Survival Analysis for Heart Failure Risk Prediction
Interpretable Survival Analysis for Heart Failure Risk Prediction
Mike Van Ness
Tomas M. Bosschieter
Natasha Din
Andrew P Ambrosy
Alexander Sandhu
Madeleine Udell
66
6
0
24 Oct 2023
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
L0Learn: A Scalable Package for Sparse Learning using L0 Regularization
Hussein Hazimeh
Rahul Mazumder
Tim Nonet
53
16
0
10 Feb 2022
How Interpretable and Trustworthy are GAMs?
How Interpretable and Trustworthy are GAMs?
C. Chang
S. Tan
Benjamin J. Lengerich
Anna Goldenberg
R. Caruana
FAtt
114
79
0
11 Jun 2020
OpenML: networked science in machine learning
OpenML: networked science in machine learning
Joaquin Vanschoren
Jan N. van Rijn
B. Bischl
Luís Torgo
FedMLAI4CE
167
1,327
0
29 Jul 2014
A Selective Review of Group Selection in High-Dimensional Models
A Selective Review of Group Selection in High-Dimensional Models
Jian Huang
P. Breheny
Shuangge Ma
205
381
0
29 Apr 2012
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
270
2,055
0
10 Aug 2007
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