1. Ahmadizadeh, K., Dilkina, B., Gomes, C., & Sabharwal, A. (2010). An empirical study of optimization for maximizing diffusion in networks. In D. Cohen (Ed.) Proceedings of the international conference on principles and practice of constraint programming (CP’10), Lecture Notes in Computer Science (Vol. 6308, pp. 514–521). Berlin: Springer.
2. Ansel, J., Kamil, S., Veeramachaneni, K., Ragan-Kelley, J., Bosboom, J., O’Reilly, U., & Amarasinghe, S. (2014). Opentuner: An extensible framework for program autotuning. In J. Amaral, & J. Torrellas (Eds.) International conference on parallel architectures and compilation (pp. 303–316). New York: ACM.
3. Ansótegui, C., Sellmann, M., & Tierney, K. (2009). A gender-based genetic algorithm for the automatic configuration of algorithms. In I. Gent (Ed.) Proceedings of the fifteenth international conference on principles and practice of constraint programming (CP’09) Lecture Notes in Computer Science (Vol. 5732, pp. 142–157). Berlin: Springer.
4. Ansótegui, C., Malitsky, Y., Sellmann, M., & Tierney, K. (2015). Model-based genetic algorithms for algorithm configuration. In Q. Yang, & M. Wooldridge (Eds.) Proceedings of the 25th international joint conference on artificial intelligence (IJCAI’15) (pp. 733–739).
5. Arbelaez, A., Truchet, C., & O’Sullivan, B. (2016). Learning sequential and parallel runtime distributions for randomized algorithms. In Proceedings of the international conference on tools with artificial intelligence (ICTAI).