Dilip Arumugam, Benjamin Van Roy. Deciding What to Learn: A Rate-Distortion Approach. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 373-382, PMLR, 2021. [doi]
@inproceedings{ArumugamR21,
title = {Deciding What to Learn: A Rate-Distortion Approach},
author = {Dilip Arumugam and Benjamin Van Roy},
year = {2021},
url = {http://proceedings.mlr.press/v139/arumugam21a.html},
researchr = {https://researchr.org/publication/ArumugamR21},
cites = {0},
citedby = {0},
pages = {373-382},
booktitle = {Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event},
editor = {Marina Meila and Tong Zhang 0001},
volume = {139},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}