Obserwuj
Jamie Morgenstern
Tytuł
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Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ...
Communications of the ACM 64 (12), 86-92, 2021
7172021
Fairness in learning: Classic and contextual bandits
M Joseph, M Kearns, JH Morgenstern, A Roth
Advances in neural information processing systems 29, 2016
3302016
A convex framework for fair regression
R Berk, H Heidari, S Jabbari, M Joseph, M Kearns, J Morgenstern, S Neel, ...
FAT/ML 2017, 2017
1882017
On the pseudo-dimension of nearly optimal auctions
JH Morgenstern, T Roughgarden
Advances in Neural Information Processing Systems 28, 2015
1632015
Predictive inequity in object detection
B Wilson, J Hoffman, J Morgenstern
arXiv preprint arXiv:1902.11097, 2019
1482019
Fair learning in Markovian environments
S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth
Proceedings of the 34th International Conference on Machine Learning, 2016
136*2016
Fair algorithms for infinite and contextual bandits
M Joseph, M Kearns, J Morgenstern, S Neel, A Roth
arXiv preprint arXiv:1610.09559, 2016
126*2016
Learning Simple Auctions
J Morgenstern, T Roughgarden
COLT 2016, 2016
1012016
How bad is selfish voting?
S Brânzei, I Caragiannis, J Morgenstern, AD Procaccia
Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
852013
Fair k-center clustering for data summarization
M Kleindessner, P Awasthi, J Morgenstern
Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019
832019
FairVis: Visual analytics for discovering intersectional bias in machine learning
ÁA Cabrera, W Epperson, F Hohman, M Kahng, J Morgenstern, DH Chau
2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 46-56, 2019
782019
Guarantees for spectral clustering with fairness constraints
M Kleindessner, S Samadi, P Awasthi, J Morgenstern
Proceedings of the 36th International Conference on Machine Learning, 2019
782019
The Price of Fair PCA: One Extra Dimension
S Samadi, U Tantipongpipat, J Morgenstern, M Singh, S Vempala
Conference on Neural Information Processing Systems (NIPS) 2018, 2018
772018
On the compatibility of privacy and fairness
R Cummings, V Gupta, D Kimpara, J Morgenstern
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019
692019
A smoothed analysis of the greedy algorithm for the linear contextual bandit problem
S Kannan, JH Morgenstern, A Roth, B Waggoner, ZS Wu
Advances in neural information processing systems 31, 2018
692018
Impartial Peer Review
D Kurokawa, O Lev, J Morgenstern, A Procaccia
IJCAI, 2015
632015
On maxsum fair cake divisions
SJ Brams, M Feldman, J Morgenstern, J Lai, A Procaccia
Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI), 2012
522012
Security-typed programming within dependently typed programming
J Morgenstern, DR Licata
Proceedings of the 15th ACM SIGPLAN international conference on Functional …, 2010
422010
Diversity and inclusion metrics in subset selection
M Mitchell, D Baker, N Moorosi, E Denton, B Hutchinson, A Hanna, ...
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 117-123, 2020
402020
Fairness incentives for myopic agents
S Kannan, M Kearns, J Morgenstern, M Pai, A Roth, R Vohra, ZS Wu
Proceedings of the 2017 ACM Conference on Economics and Computation, 369-386, 2017
362017
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