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Daniel McNamara
Daniel McNamara
Verified email at anu.edu.au - Homepage
Title
Cited by
Cited by
Year
Mining for the Meanings of a Murder: The Impact of OCR Quality on the Use of Digitized Historical Newspapers
C Strange, D McNamara, J Wodak, I Wood
Digital Humanities Quarterly 8 (1), 2014
612014
Costs and benefits of fair representation learning
D McNamara, CS Ong, RC Williamson
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 263-270, 2019
572019
Provably fair representations
D McNamara, CS Ong, RC Williamson
arXiv preprint arXiv:1710.04394, 2017
552017
Risk bounds for transferring representations with and without fine-tuning
D McNamara, MF Balcan
International conference on machine learning, 2373-2381, 2017
402017
Predicting high impact academic papers using citation network features
D McNamara, P Wong, P Christen, KS Ng
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 14-25, 2013
232013
Trade-offs in Algorithmic Risk Assessment: an Australian Domestic Violence Case Study
D McNamara, T Graham, E Broad, CS Ong
Theory on Demand #29: Good Data, 96-116, 2019
112019
Equalized Odds Implies Partially Equalized Outcomes Under Realistic Assumptions
D McNamara
AAAI Conference on Artificial Intelligence, Ethics and Society, 2019
72019
A modular theory of feature learning
D McNamara, CS Ong, RC Williamson
arXiv preprint arXiv:1611.03125, 2016
42016
Algorithmic Stereotypes: Implications for Fairness of Generalizing from Past Data
D McNamara
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 535-536, 2019
2019
Learning Provably Useful Representations, with Applications to Fairness
D McNamara
The Australian National University, 2019
2019
DHQ: Digital Humanities Quarterly
D McNamara
DHQ 8 (1), 2014
2014
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Articles 1–11