Jamie Morgenstern

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Aaron RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
Michael KearnsProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de cis.upenn.edu
pranjal awasthiGoogleDirección de correo verificada de rutgers.edu
Matthäus KleindessnerAmazon AWS TübingenDirección de correo verificada de amazon.com
Matthew JosephGoogleDirección de correo verificada de google.com
Hanna WallachPartner Research Manager, Microsoft ResearchDirección de correo verificada de dirichlet.net
Jennifer Wortman VaughanSenior Principal Researcher, Microsoft Research, New York CityDirección de correo verificada de microsoft.com
Briana VecchioneCornell UniversityDirección de correo verificada de cornell.edu
Shahin JabbariDrexel UniversityDirección de correo verificada de drexel.edu
Samira SamadiResearch Group Leader. Max Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de
Seth NeelAsst Professor, Harvard UniversityDirección de correo verificada de hbs.edu
Zhiwei Steven WuCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityDirección de correo verificada de seas.harvard.edu
Santosh S. VempalaGeorgia TechDirección de correo verificada de gatech.edu
Mohit SinghProfessor, Georgia Institute of TechnologyDirección de correo verificada de gatech.edu
Uthaipon TantipongpipatTwitterDirección de correo verificada de twitter.com
Rachel CummingsColumbia UniversityDirección de correo verificada de columbia.edu
Tim RoughgardenColumbia UniversityDirección de correo verificada de cs.columbia.edu
Fred HohmanResearch Scientist at AppleDirección de correo verificada de apple.com
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu

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Jamie Morgenstern

University of Washington

Dirección de correo verificada de cs.washington.edu - Página principal

Algorithmic game theory machine learning privacy approximation algorithms


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Datasheets for datasets T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ... Communications of the ACM 64 (12), 86-92, 2021	2375	2021
Fairness in learning: Classic and contextual bandits M Joseph, M Kearns, JH Morgenstern, A Roth Advances in neural information processing systems 29, 325-333, 2016	537	2016
A convex framework for fair regression R Berk, H Heidari, S Jabbari, M Joseph, M Kearns, J Morgenstern, S Neel, ... FAT/ML 2017, 2017	386	2017
Predictive inequity in object detection B Wilson, J Hoffman, J Morgenstern arXiv preprint arXiv:1902.11097, 2019	284	2019
Fairness in reinforcement learning S Jabbari, M Joseph, M Kearns, J Morgenstern, A Roth Proceedings of the 34th International Conference on Machine Learning, 1617-1626, 2016	244*	2016
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	225	2019
On the pseudo-dimension of nearly optimal auctions JH Morgenstern, T Roughgarden Advances in Neural Information Processing Systems 28, 136-144, 2015	208	2015
Fair k-center clustering for data summarization M Kleindessner, P Awasthi, J Morgenstern Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019	192	2019
Meritocratic fairness for infinite and contextual bandits M Joseph, M Kearns, J Morgenstern, S Neel, A Roth Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 158-163, 2016	189*	2016
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	187	2019
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	176	2019
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	170	2018
Learning Simple Auctions J Morgenstern, T Roughgarden COLT 2016, 1298-1318, 2016	147	2016
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	113	2020
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, 2231–2241, 2018	109	2018
How bad is selfish voting? S Brânzei, I Caragiannis, J Morgenstern, A Procaccia Proceedings of the AAAI conference on artificial intelligence 27 (1), 138-144, 2013	99	2013
Equalized odds postprocessing under imperfect group information P Awasthi, M Kleindessner, J Morgenstern International conference on artificial intelligence and statistics, 1770-1780, 2020	98	2020
Impartial Peer Review D Kurokawa, O Lev, J Morgenstern, A Procaccia International Joint Conference on Artificial Intelligence 15, 582-588, 2015	81	2015
Active sampling for min-max fairness J Abernethy, P Awasthi, M Kleindessner, J Morgenstern, C Russell, ... Proceedings of the 39th International Conference on Machine Learning 162, 53-65, 2020	66*	2020
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	64	2012

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