Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane. Skew-symmetrically perturbed gradient flow for convex optimization. In Vineeth N. Balasubramanian, Ivor W. Tsang, editors, Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event. Volume 157 of Proceedings of Machine Learning Research, pages 721-736, PMLR, 2021. [doi]
@inproceedings{FutamiIUY21, title = {Skew-symmetrically perturbed gradient flow for convex optimization}, author = {Futoshi Futami and Tomoharu Iwata and Naonori Ueda and Ikko Yamane}, year = {2021}, url = {https://proceedings.mlr.press/v157/futami21a.html}, researchr = {https://researchr.org/publication/FutamiIUY21}, cites = {0}, citedby = {0}, pages = {721-736}, booktitle = {Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event}, editor = {Vineeth N. Balasubramanian and Ivor W. Tsang}, volume = {157}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, }