Pre-trained Gaussian processes for Bayesian optimization

Pre-trained Gaussian processes for Bayesian optimization

16 September 2021

Justin Gilmer

Zoubin Ghahramani

Papers citing "Pre-trained Gaussian processes for Bayesian optimization"

8 / 8 papers shown

Title
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning Sixuan Wang Jiao Yin Jinli Cao MingJian Tang Hua Wang Yanchun Zhang GNN AI4CE 50 0 0 30 Apr 2025
Bayesian Optimization for Controlled Image Editing via LLMs Chengkun Cai Haoliang Liu Xu Zhao Zhongyu Jiang Tianfang Zhang Zongkai Wu Jenq-Neng Hwang Serge Belongie Lei Li BDL OffRL 103 2 0 25 Feb 2025
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 29 8 0 25 Apr 2024
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Z. Wang Alexander Ku Jason Baldridge Thomas L. Griffiths Been Kim UQCV 21 11 0 29 May 2023
Deep Ranking Ensembles for Hyperparameter Optimization Abdus Salam Khazi Sebastian Pineda Arango Josif Grabocka BDL 21 7 0 27 Mar 2023
Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen Xingyou Song Chansoo Lee Z. Wang Qiuyi Zhang ... Greg Kochanski Arnaud Doucet MarcÁurelio Ranzato Sagi Perel Nando de Freitas 24 63 0 26 May 2022
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 49 41 0 09 Nov 2021
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 401 0 06 Mar 2017