Adaptation Speed Analysis for Fairness-aware Causal Models-Reference-Cited by-同舟云学术

Adaptation Speed Analysis for Fairness-aware Causal Models

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Lin Yujie¹^ORCID,Zhao Chen²^ORCID,Shao Minglai¹^ORCID,Zhao Xujiang³^ORCID,Chen Haifeng⁴^ORCID

Affiliation:

1. Tianjin University, Tianjin, China

2. Baylor University, Waco, USA

3. NEC Lab America, Princeton, USA

4. NEC Labs, Princeton, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614774

Reference34 articles.

1. Y. Bengio , T. Deleu , N. Rahaman , N. R. Ke , S. Lachapelle , O. Bilaniuk , A. Goyal , and C. Pal . 2020. A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms . In International Conference on Learning Representations. Y. Bengio, T. Deleu, N. Rahaman, N. R. Ke, S. Lachapelle, O. Bilaniuk, A. Goyal, and C. Pal. 2020. A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. In International Conference on Learning Representations.

2. Léon Bottou . 2012. Stochastic gradient descent tricks . In Neural networks: Tricks of the trade . Springer , 421--436. Léon Bottou. 2012. Stochastic gradient descent tricks. In Neural networks: Tricks of the trade. Springer, 421--436.

3. Simon Caton and Christian Haas . 2020. Fairness in machine learning: A survey. Comput. Surveys ( 2020 ). Simon Caton and Christian Haas. 2020. Fairness in machine learning: A survey. Comput. Surveys (2020).

4. Chenhui Chu and Rui Wang . 2018. A survey of domain adaptation for neural machine translation. arXiv preprint arXiv:1806.00258 ( 2018 ). Chenhui Chu and Rui Wang. 2018. A survey of domain adaptation for neural machine translation. arXiv preprint arXiv:1806.00258 (2018).

5. To Annotate or Not? Predicting Performance Drop under Domain Shift