Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa. Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. In Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang 0025, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann, editors, Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I. Volume 12269 of Lecture Notes in Computer Science, pages 719-731, Springer, 2020. [doi]
@inproceedings{YamaguchiUS20,
title = {Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality},
author = {Teppei Yamaguchi and Kento Uchida and Shinichi Shirakawa},
year = {2020},
doi = {10.1007/978-3-030-58112-1_50},
url = {https://doi.org/10.1007/978-3-030-58112-1_50},
researchr = {https://researchr.org/publication/YamaguchiUS20},
cites = {0},
citedby = {0},
pages = {719-731},
booktitle = {Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I},
editor = {Thomas Bäck and Mike Preuss and André H. Deutz and Hao Wang 0025 and Carola Doerr and Michael T. M. Emmerich and Heike Trautmann},
volume = {12269},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-58112-1},
}