Transfer Learning for Bayesian Optimization: A Survey

Transfer Learning for Bayesian Optimization: A Survey

12 February 2023

Papers citing "Transfer Learning for Bayesian Optimization: A Survey"

19 / 19 papers shown

Title
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization Philipp Wagner Tobias Nagel Philipp Leube Marco F. Huber 58 0 0 20 Mar 2025
Clustering-based Meta Bayesian Optimization with Theoretical Guarantee Khoa Nguyen Viet Huynh Binh Tran Tri Pham Tin Huynh T. Nguyen 34 0 0 08 Mar 2025
Monte Carlo Tree Search based Space Transfer for Black-box Optimization Shukuan Wang Ke Xue Lei Song Xiaobin Huang Chao Qian 63 0 0 10 Dec 2024
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 37 4 0 27 Oct 2024
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces Aryan Deshwal Sait Cakmak Yuhou Xia David Eriksson 25 0 0 09 Sep 2024
Efficient Task Transfer for HLS DSE Zijian Ding Atefeh Sohrabizadeh Weikai Li Zongyue Qin Yizhou Sun Jason Cong 21 0 0 16 Aug 2024
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation Dong Bok Lee Aoxuan Silvia Zhang Byung-Hoon Kim Junhyeon Park Juho Lee Sung Ju Hwang Haebeom Lee 24 1 0 28 May 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models Yiming Yao Fei Liu Ji Cheng Qingfu Zhang 28 7 0 25 Apr 2024
Reinforced In-Context Black-Box Optimization Lei Song Chenxiao Gao Ke Xue Chenyang Wu Dong Li Jianye Hao Zongzhang Zhang Chao Qian 19 3 0 27 Feb 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications Xijun Li Fangzhou Zhu Hui-Ling Zhen Weilin Luo Meng Lu ... Jia Zeng M. Yuan Jianye Hao Jun Yao Kun Mao 18 1 0 11 Jan 2024
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization Jiao Liu Abhishek Gupta Yew-Soon Ong 15 0 0 22 Dec 2023
Data-driven Prior Learning for Bayesian Optimisation Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 8 0 0 24 Nov 2023
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 11 11 0 05 Sep 2023
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation Sigrid Passano Hellan Huibin Shen Franccois-Xavier Aubet David Salinas Aaron Klein 14 1 0 29 Jun 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 19 15 0 25 May 2023
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 10 10 0 08 Feb 2023
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 81 576 0 13 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 357 0 06 Mar 2017