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Optimizing Cox Models with Stochastic Gradient Descent: Theoretical
  Foundations and Practical Guidances

Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances

5 August 2024
Lang Zeng
Weijing Tang
Zhao Ren
Ying Ding
ArXivPDFHTML

Papers citing "Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances"

2 / 2 papers shown
Title
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
115
1,231
0
02 Jun 2016
A simpler approach to obtaining an O(1/t) convergence rate for the
  projected stochastic subgradient method
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark W. Schmidt
Francis R. Bach
126
259
0
10 Dec 2012
1