Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel. Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 29919-29936, PMLR, 2023. [doi]
@inproceedings{SanderPDPB23,
title = {Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective},
author = {Michael Eli Sander and Joan Puigcerver and Josip Djolonga and Gabriel Peyré and Mathieu Blondel},
year = {2023},
url = {https://proceedings.mlr.press/v202/sander23a.html},
researchr = {https://researchr.org/publication/SanderPDPB23},
cites = {0},
citedby = {0},
pages = {29919-29936},
booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
volume = {202},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}