CAMEO

Author:

Iqbal Md Shahriar1ORCID,Zhong Ziyuan2ORCID,Ahmad Iftakhar1ORCID,Ray Baishakhi2ORCID,Jamshidi Pooyan1ORCID

Affiliation:

1. University of South Carolina

2. Columbia University

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference68 articles.

1. On-line transaction processing benchmark. https://www.tpc.org/tpcc/. On-line transaction processing benchmark. https://www.tpc.org/tpcc/.

2. Mathieu Acher , Hugo Martin , Juliana Pereira , Arnaud Blouin , Jean-Marc Jézéquel , Djamel Khelladi , Luc Lesoil , and Olivier Barais . Learning very large configuration spaces: What matters for linux kernel sizes . 2019 . Mathieu Acher, Hugo Martin, Juliana Pereira, Arnaud Blouin, Jean-Marc Jézéquel, Djamel Khelladi, Luc Lesoil, and Olivier Barais. Learning very large configuration spaces: What matters for linux kernel sizes. 2019.

3. Virginia Aglietti , Xiaoyu Lu , Andrei Paleyes , and Javier González . Causal bayesian optimization. In Silvia Chiappa and Roberto Calandra, editors , Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics , volume 108 of Proceedings of Machine Learning Research, pages 3155--3164. PMLR, 26- -28 Aug 2020 . Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, and Javier González. Causal bayesian optimization. In Silvia Chiappa and Roberto Calandra, editors, Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, volume 108 of Proceedings of Machine Learning Research, pages 3155--3164. PMLR, 26--28 Aug 2020.

4. Omid Alipourfard , Hongqiang Harry Liu , Jianshu Chen , Shivaram Venkataraman , Minlan Yu , and Ming Zhang . {CherryPick} : Adaptively unearthing the best cloud configurations for big data analytics . In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) , pages 469 -- 482 , 2017 . Omid Alipourfard, Hongqiang Harry Liu, Jianshu Chen, Shivaram Venkataraman, Minlan Yu, and Ming Zhang. {CherryPick}: Adaptively unearthing the best cloud configurations for big data analytics. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17), pages 469--482, 2017.

5. Transfer learning for multiobjective optimization algorithms supporting dynamic software product lines

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