Moritz Hardt

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Benjamin RechtProfessor of EECS, University of California, BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Omer ReingoldStanford UniversityAdresse e-mail validée de stanford.edu
Cynthia DworkMicrosoft ResearchAdresse e-mail validée de microsoft.com
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Associate Professor, Information Science, CornellAdresse e-mail validée de cornell.edu
Celestine Mendler-DünnerELLIS Institute & Max Planck Institute for Intelligent Systems, TübingenAdresse e-mail validée de tuebingen.mpg.de
Arvind NarayananProfessor, Princeton UniversityAdresse e-mail validée de cs.princeton.edu
Eric PriceAssociate Professor of Computer Science at the University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Chiyuan ZhangGoogle ResearchAdresse e-mail validée de google.com
Samy BengioSenior Director, AI and Machine Learning Research, AppleAdresse e-mail validée de apple.com
Aaron RothProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Oriol VinyalsResearch Scientist at Google DeepMindAdresse e-mail validée de google.com
Ludwig SchmidtStanford University and AnthropicAdresse e-mail validée de cs.washington.edu
Richard ZemelProfessor of Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
Smitha MilliMeta FAIRAdresse e-mail validée de meta.com
Lydia T. LiuAssistant Professor of Computer Science, Princeton UniversityAdresse e-mail validée de princeton.edu
Max SimchowitzMITAdresse e-mail validée de andrew.cmu.edu
Nathan SrebroProfessor, TTIC and University of ChicagoAdresse e-mail validée de ttic.edu
Yu SunPostdoc, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Tijana ZrnicStanford UniversityAdresse e-mail validée de stanford.edu
Luca BelliSator LabsAdresse e-mail validée de berkeley.edu

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Moritz Hardt

Max Planck Institute for Intelligent Systems

Adresse e-mail validée de is.mpg.de - Page d'accueil

machine learning decision making algorithms


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Understanding deep learning requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals ICLR 2017, 2017	7798*	2017
Equality of opportunity in supervised learning M Hardt, E Price, N Srebro NIPS 2016, 3315-3323, 2016	5246	2016
Fairness through awareness C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel ITCS 2012, 214-226, 2012	4637	2012
Sanity checks for saliency maps J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim NeurIPS 2018, 2018	2438	2018
Fairness and machine learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023	2298*	2023
Train faster, generalize better: Stability of stochastic gradient descent M Hardt, B Recht, Y Singer ICML 2016, 1225-1234, 2015	1477	2015
Test-time training with self-supervision for generalization under distribution shifts Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt ICML 2020, 9229-9248, 2020	895	2020
Avoiding discrimination through causal reasoning N Kilbertus, MR Carulla, G Parascandolo, M Hardt, D Janzing, ... NIPS 2017, 656-666, 2017	742	2017
A system for massively parallel hyperparameter tuning L Li, K Jamieson, A Rostamizadeh, E Gonina, J Ben-Tzur, M Hardt, ... Proceedings of Machine Learning and Systems 2, 230-246, 2020	662*	2020
A simple and practical algorithm for differentially private data release M Hardt, K Ligett, F McSherry NIPS 2012, 2348-2356, 2012	591	2012
Delayed impact of fair machine learning LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt ICML 2018, 2018	580	2018
A multiplicative weights mechanism for privacy-preserving data analysis M Hardt, GN Rothblum FOCS 2010, 61-70, 2010	510	2010
On the geometry of differential privacy M Hardt, K Talwar STOC 2010, 705-714, 2010	509	2010
Retiring Adult: New datasets for fair machine learning F Ding, M Hardt, J Miller, L Schmidt Advances in Neural Information Processing Systems 34, 2021	470	2021
Identity matters in deep learning M Hardt, T Ma ICLR 2017, 2017	448	2017
Strategic classification M Hardt, N Megiddo, C Papadimitriou, M Wootters ITCS 2016, 111-122, 2016	444	2016
Preserving statistical validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth STOC 2015, 2014	425	2014
The reusable holdout: Preserving validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth Science 349 (6248), 636-638, 2015	408	2015
Performative prediction JC Perdomo, T Zrnic, C Mendler-Dünner, M Hardt ICML 2020, 2020	387	2020
Gradient descent learns linear dynamical systems M Hardt, T Ma, B Recht Journal of Machine Learning Research 19, 1-44, 2018	362	2018

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