Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaïd Harchaoui. Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals. 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 12930-12942, 2021. [doi]
@inproceedings{LiuPWOCH21,
title = {Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals},
author = {Lang Liu and Krishna Pillutla and Sean Welleck and Sewoong Oh and Yejin Choi and Zaïd Harchaoui},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/6bf733bb7f81e866306e9b5f012419cb-Abstract.html},
researchr = {https://researchr.org/publication/LiuPWOCH21},
cites = {0},
citedby = {0},
pages = {12930-12942},
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},
}