Transfer Learning based Search Space Design for Hyperparameter Tuning

Transfer Learning based Search Space Design for Hyperparameter Tuning

Knowledge Discovery and Data Mining (KDD), 2022

6 June 2022

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Papers citing "Transfer Learning based Search Space Design for Hyperparameter Tuning"

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Title
Provable Accelerated Bayesian Optimization with Knowledge Transfer Haitao Lin Boxin Zhao Mladen Kolar Chong Liu 112 0 0 05 Nov 2025
None To Optima in Few Shots: Bayesian Optimization with MDP Priors Diantong Li Kyunghyun Cho Chong Liu 88 0 0 02 Nov 2025
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 395 14 0 27 Oct 2024
Principled Architecture-aware Scaling of Hyperparameters Wuyang Chen Junru Wu Zhangyang Wang Boris Hanin AI4CE 257 2 0 27 Feb 2024
MALIBO: Meta-learning for Likelihood-free Bayesian OptimizationInternational Conference on Machine Learning (ICML), 2023 Jia Pan Stefan Falkner Felix Berkenkamp Joaquin Vanschoren 234 2 0 07 Jul 2023
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning Xinyi Zhang Zhuonan Chang Hong Wu Yan Zhao Jia Chen Jian Tan Feifei Li Tengjiao Wang 119 19 0 10 Mar 2023
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space DecompositionThe VLDB journal (VLDBJ), 2021 Yan Zhao Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Tengjiao Wang LRM 149 53 0 19 Jul 2021