Vivek Nair Krishna, R., Nair, V., Jamshidi, P., & Menzies, T. (2021). Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 47(12), 2956–2972. https://doi.org/10.1109/TSE.2020.2983927 Chen, J., Nair, V., Krishna, R., & Menzies, T. (2019). "Sampling" as a Baseline Optimizer for Search-Based Software Engineering. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 45(6), 597–614. https://doi.org/10.1109/TSE.2018.2790925 Chen, J., Nair, V., & Menzies, T. (2018). Beyond evolutionary algorithms for search-based software engineering. INFORMATION AND SOFTWARE TECHNOLOGY, 95, 281–294. https://doi.org/10.1016/j.infsof.2017.08.007 Nair, V., Agrawal, A., Chen, J., Fu, W., Mathew, G., Menzies, T., … Yu, Z. (2018). Data-Driven Search-based Software Engineering. 2018 IEEE/ACM 15TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR), pp. 341–352. https://doi.org/10.1145/3196398.3196442 Tu, H., & Nair, V. (2018). Is One Hyperparameter Optimizer Enough? PROCEEDINGS OF THE 4TH ACM SIGSOFT INTERNATIONAL WORKSHOP ON SOFTWARE ANALYTICS (SWAN'18), pp. 19–25. https://doi.org/10.1145/3278142.3278145 Hsu, C.-J., Nair, V., Menzies, T., & Freeh, V. (2018). Micky: A Cheaper Alternative for Selecting Cloud Instances. PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), pp. 409–416. https://doi.org/10.1109/CLOUD.2018.00058 Nair, V., Menzies, T., Siegmund, N., & Apel, S. (2017). Using Bad Learners to Find Good Configurations. ESEC/FSE 2017: PROCEEDINGS OF THE 2017 11TH JOINT MEETING ON FOUNDATIONS OF SOFTWARE ENGINEERING, pp. 257–267. https://doi.org/10.1145/3106237.3106238 Nair, V., Menzies, T., & Chen, J. (2016). An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE. SEARCH BASED SOFTWARE ENGINEERING, SSBSE 2016, Vol. 9962, pp. 96–111. https://doi.org/10.1007/978-3-319-47106-8_7