Bayesian Optimization for Optimizing Retrieval Systems-Reference-Cited by-同舟云学术

Bayesian Optimization for Optimizing Retrieval Systems

Published:2018-02-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining
language:
Short-container-title:

Author:

Li Dan¹,Kanoulas Evangelos¹

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3159652.3159665

Reference37 articles.

1. Improvements that don't add up

2. Random search for hyper-parameter optimization;Bergstra James;Journal of Machine Learning Research 13,2012

3. James S Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. In Advances in Neural Information Processing Systems. 2546--2554. James S Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. In Advances in Neural Information Processing Systems. 2546--2554.

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable deep learning model for membrane capacitive deionization operated under fouling conditions;Desalination;2023-09

2. Selective Query Processing: A Risk-Sensitive Selection of Search Configurations;ACM Transactions on Information Systems;2023-08-21

3. Comparative Study of Bayesian Optimization Process for the Best Machine Learning Hyperparameters;Proceedings of the 6th International Conference on Big Data and Internet of Things;2023

4. BIGexplore: Bayesian Information Gain Framework for Information Exploration;CHI Conference on Human Factors in Computing Systems;2022-04-27

5. Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization;Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining;2022-02-11