H. Li, Z. Xu, G. Taylor, C. Studer, and T. Goldstein. (2017)cite arxiv:1712.09913Comment: NIPS 2018 (extended version, 10.5 pages), code is available at https://github.com/tomgoldstein/loss-landscape.
H. Spieker, A. Gotlieb, D. Marijan, and M. Mossige. (2018)cite arxiv:1811.04122Comment: Spieker, H., Gotlieb, A., Marijan, D., & Mossige, M. (2017). Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration. In Proceedings of 26th International Symposium on Software Testing and Analysis (ISSTA'17) (pp. 12--22). ACM.
H. Zhang, Y. Dauphin, and T. Ma. (2019)cite arxiv:1901.09321Comment: Accepted for publication at ICLR 2019; see https://openreview.net/forum?id=H1gsz30cKX.