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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
  Decomposition

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition

19 July 2021
Yang Li
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
Yaliang Li
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Bin Cui
    LRM
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Papers citing "VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition"

9 / 9 papers shown
Title
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
27
29
0
12 Feb 2023
An Empirical Study on the Usage of Automated Machine Learning Tools
An Empirical Study on the Usage of Automated Machine Learning Tools
Forough Majidi
Moses Openja
Foutse Khomh
Heng Li
31
14
0
28 Aug 2022
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning
Yang Li
Yu Shen
Huaijun Jiang
Wentao Zhang
Zhi-Xin Yang
Ce Zhang
Bin Cui
17
15
0
06 Jun 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning
Transfer Learning based Search Space Design for Hyperparameter Tuning
Yang Li
Yu Shen
Huaijun Jiang
Tianyi Bai
Wentao Zhang
Ce Zhang
Bin Cui
14
13
0
06 Jun 2022
Information Gain Propagation: a new way to Graph Active Learning with
  Soft Labels
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
Wentao Zhang
Yexin Wang
Zhenbang You
Meng Cao
Ping-Chia Huang
Jiulong Shan
Zhi-Xin Yang
Bin Cui
AAML
30
19
0
02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable
  Paradigm
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Bin Cui
GNN
27
59
0
01 Mar 2022
A Scalable AutoML Approach Based on Graph Neural Networks
A Scalable AutoML Approach Based on Graph Neural Networks
M. Helali
Essam Mansour
Ibrahim Abdelaziz
Julian T Dolby
Kavitha Srinivas
GNN
22
12
0
29 Oct 2021
ProxyBO: Accelerating Neural Architecture Search via Bayesian
  Optimization with Zero-cost Proxies
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Yu Shen
Yang Li
Jian Zheng
Wentao Zhang
Peng Yao
Jixiang Li
Sen Yang
Ji Liu
Cui Bin
AI4CE
32
30
0
20 Oct 2021
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation,
  Cost Model, and Plan Enumeration
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
Hai Lan
Z. Bao
Yuwei Peng
17
81
0
05 Jan 2021
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