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Neural Model-based Optimization with Right-Censored Observations

Neural Model-based Optimization with Right-Censored Observations

29 September 2020
Katharina Eggensperger
Kai Haase
Philip Muller
Marius Lindauer
Frank Hutter
ArXivPDFHTML

Papers citing "Neural Model-based Optimization with Right-Censored Observations"

5 / 5 papers shown
Title
A Survey of Methods for Automated Algorithm Configuration
A Survey of Methods for Automated Algorithm Configuration
Elias Schede
Jasmin Brandt
Alexander Tornede
Marcel Wever
Viktor Bengs
Eyke Hüllermeier
Kevin Tierney
19
48
0
03 Feb 2022
Machine Learning for Online Algorithm Selection under Censored Feedback
Machine Learning for Online Algorithm Selection under Censored Feedback
Alexander Tornede
Viktor Bengs
Eyke Hüllermeier
26
3
0
13 Sep 2021
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
208
1,019
0
26 Mar 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
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
106
1,231
0
02 Jun 2016
1