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TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

6 June 2022
Yang Li
Yu Shen
Huaijun Jiang
Wentao Zhang
Zhi-Xin Yang
Ce Zhang
Bin Cui
ArXivPDFHTML

Papers citing "TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning"

8 / 8 papers shown
Title
Principled Architecture-aware Scaling of Hyperparameters
Principled Architecture-aware Scaling of Hyperparameters
Wuyang Chen
Junru Wu
Zhangyang Wang
Boris Hanin
AI4CE
43
1
0
27 Feb 2024
Towards General and Efficient Online Tuning for Spark
Towards General and Efficient Online Tuning for Spark
Yang Li
Huaijun Jiang
Yu Shen
Yide Fang
Xiaofeng Yang
...
Xinyi Zhang
Wentao Zhang
Ce Zhang
Peng Chen
Bin Cui
29
12
0
05 Sep 2023
AutoML in the Age of Large Language Models: Current Challenges, Future
  Opportunities and Risks
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede
Difan Deng
Theresa Eimer
Joseph Giovanelli
Aditya Mohan
...
Sarah Segel
Daphne Theodorakopoulos
Tanja Tornede
Henning Wachsmuth
Marius Lindauer
28
23
0
13 Jun 2023
Transfer Learning for Bayesian Optimization: A Survey
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yang Li
Yu Shen
Xinyi Zhang
Wentao Zhang
Bin Cui
BDL
39
29
0
12 Feb 2023
Rover: An online Spark SQL tuning service via generalized transfer
  learning
Rover: An online Spark SQL tuning service via generalized transfer learning
Yu Shen
Xinyuyang Ren
Yupeng Lu
Huaijun Jiang
Huanyong Xu
Di Peng
Yang Li
Wentao Zhang
Bin Cui
31
10
0
08 Feb 2023
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
327
0
20 Sep 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
  Decomposition
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Bin Cui
LRM
29
44
0
19 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
79
448
0
13 Jul 2021
1