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A. Feder Cooper
A. Feder Cooper
Postdoc | Incoming Professor, Yale CS
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Scalable extraction of training data from (production) language models
M Nasr, N Carlini, J Hayase, M Jagielski, AF Cooper, D Ippolito, ...
arXiv preprint arXiv:2311.17035, 2023
2812023
Accountability in an algorithmic society: relationality, responsibility, and robustness in machine learning
AF Cooper*, E Moss*, B Laufer, H Nissenbaum
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
1192022
Talkin''Bout AI Generation: Copyright and the Generative-AI Supply Chain
K Lee*, AF Cooper*, J Grimmelmann*
Forthcoming, Journal of the Copyright Society, 2023
80*2023
Emergent unfairness in algorithmic fairness-accuracy trade-off research
AF Cooper, E Abrams, N Na
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 46-54, 2021
762021
Stealing part of a production language model
N Carlini, D Paleka, KD Dvijotham, T Steinke, J Hayase, AF Cooper, ...
arXiv preprint arXiv:2403.06634, 2024
692024
Arbitrariness and social prediction: The confounding role of variance in fair classification
AF Cooper, K Lee, MZ Choksi, S Barocas, C De Sa, J Grimmelmann, ...
Proceedings of the AAAI Conference on Artificial Intelligence, 2024 38 (20 …, 2023
53*2023
Four years of FAccT: A reflexive, mixed-methods analysis of research contributions, shortcomings, and future prospects
B Laufer, S Jain*, AF Cooper*, J Kleinberg, H Heidari
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
502022
Hyperparameter optimization is deceiving us, and how to stop it
AF Cooper, Y Lu, J Forde, CM De Sa
Advances in Neural Information Processing Systems 34, 3081-3095, 2021
352021
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems
AF Cooper, K Levy, C De Sa
Proceedings of the 1st ACM Conference on Equity and Access in Algorithms …, 2020
312020
Scalable extraction of training data from (production) language models
M Nasr, N Carlini, J Hayase, M Jagielski, AF Cooper, D Ippolito, ...
arXiv preprint arXiv:2311.17035, 2023
29*2023
Model selection's disparate impact in real-world deep learning applications
JZ Forde*, AF Cooper*, K Kwegyir-Aggrey, C De Sa, M Littman
SEDL Workshop at ICLR, 2021
24*2021
CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images
A Gokaslan, AF Cooper, J Collins, L Seguin, A Jacobson, M Patel, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
232023
Asymptotically optimal exact minibatch metropolis-hastings
R Zhang*, AF Cooper*, CM De Sa
Advances in Neural Information Processing Systems 33, 19500-19510, 2020
232020
AMAGOLD: Amortized Metropolis adjustment for efficient stochastic gradient MCMC
R Zhang, AF Cooper, C De Sa
International Conference on Artificial Intelligence and Statistics, 2142-2152, 2020
222020
Report of the 1st Workshop on Generative AI and Law
AF Cooper*, K Lee*, J Grimmelmann*, D Ippolito*, C Callison-Burch, ...
arXiv preprint arXiv:2311.06477, 2023
132023
Non-determinism and the lawlessness of machine learning code
AF Cooper, J Frankle, C De Sa
Proceedings of the 2022 Symposium on Computer Science and Law, 1-8, 2022
132022
Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles
AF Cooper, K Levy
Colo. Tech. LJ 20, 221, 2021
102021
The Files are in the Computer: Copyright, Memorization, and Generative AI
AF Cooper, J Grimmelmann
arXiv preprint arXiv:2404.12590, 2024
8*2024
On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI
D McDuff, T Korjakow, S Cambo, JJ Benjamin, J Lee, Y Jernite, ...
41st International Conference on Machine Learning, 2024
82024
AI and Law: The Next Generation
K Lee*, AF Cooper*, J Grimmelmann, D Ippolito
Available at SSRN, 2023
8*2023
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