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c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for
  Expensive Hyperparameter Optimization

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

26 November 2022
Shuhei Watanabe
Frank Hutter
ArXivPDFHTML

Papers citing "c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization"

3 / 3 papers shown
Title
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based
  on Meta Learning
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
Ruiyi Zhang
Rushi Qiang
Sai Ashish Somayajula
Pengtao Xie
42
13
0
14 Mar 2024
Speeding Up Multi-Objective Hyperparameter Optimization by Task
  Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
Shuhei Watanabe
Noor H. Awad
Masaki Onishi
Frank Hutter
31
9
0
13 Dec 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
85
328
0
20 Sep 2021
1