Jonas Rothfuss, Dominique Heyn, Jinfan Chen, Andreas Krause 0001. Meta-Learning Reliable Priors in the Function Space. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 280-293, 2021. [doi]
@inproceedings{RothfussHCK21,
title = {Meta-Learning Reliable Priors in the Function Space},
author = {Jonas Rothfuss and Dominique Heyn and Jinfan Chen and Andreas Krause 0001},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/024d2d699e6c1a82c9ba986386f4d824-Abstract.html},
researchr = {https://researchr.org/publication/RothfussHCK21},
cites = {0},
citedby = {0},
pages = {280-293},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}