Zandieh, Amir Algorithms and Complexity, MPI for Informatics, Max Planck Society;
han22g.pdf (Publisher version), 668KB
Han, I., Zandieh, A., & Avron, H. (2022). Random Gegenbauer Features for Scalable Kernel Methods. In K. Chaudhuri, S. Jegelka, S. Le, S. Csaba, N. Gang, & S. Sabato (Eds.), Proceedings of the 39th International Conference on Machine Learning (pp. 8330-8358). Retrieved from https://proceedings.mlr.press/v162/han22g.html.
