Jamie Morgenstern
Title
Cited by
Cited by
Year
Datasheets for datasets
T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, ...
arXiv preprint arXiv:1803.09010, 2018
3982018
Fairness in learning: Classic and contextual bandits
M Joseph, M Kearns, J Morgenstern, A Roth
arXiv preprint arXiv:1605.07139, 2016
2842016
The pseudo-dimension of near-optimal auctions
J Morgenstern, T Roughgarden
arXiv preprint arXiv:1506.03684, 2015
1572015
A convex framework for fair regression
R Berk, H Heidari, S Jabbari, M Joseph, M Kearns, J Morgenstern, S Neel, ...
FAT/ML 2017, 2017
1382017
Fair algorithms for infinite and contextual bandits
M Joseph, M Kearns, J Morgenstern, S Neel, A Roth
arXiv preprint arXiv:1610.09559, 2016
107*2016
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
105*2016
Predictive inequity in object detection
B Wilson, J Hoffman, J Morgenstern
arXiv preprint arXiv:1902.11097, 2019
1012019
Learning Simple Auctions
J Morgenstern, T Roughgarden
COLT 2016, 2016
962016
How bad is selfish voting?
S Brânzei, I Caragiannis, J Morgenstern, AD Procaccia
Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
792013
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
632018
Impartial Peer Review
D Kurokawa, O Lev, J Morgenstern, A Procaccia
IJCAI, 2015
602015
Fair k-center clustering for data summarization
M Kleindessner, P Awasthi, J Morgenstern
Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019
582019
A smoothed analysis of the greedy algorithm for the linear contextual bandit problem
S Kannan, J Morgenstern, A Roth, B Waggoner, ZS Wu
arXiv preprint arXiv:1801.03423, 2018
582018
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
482019
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
452012
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
432019
Security-typed programming within dependently typed programming
J Morgenstern, DR Licata
Proceedings of the 15th ACM SIGPLAN international conference on Functional …, 2010
422010
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
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
332019
Do prices coordinate markets?
J Hsu, J Morgenstern, R Rogers, A Roth, R Vohra
STOC 2016, 2015
322015
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