Moritz Hardt

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Benjamin RechtProfessor of EECS, University of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Omer ReingoldStanford UniversityPatvirtintas el. paštas stanford.edu
Celestine Mendler-DünnerELLIS Institute & Max Planck Institute for Intelligent Systems, TübingenPatvirtintas el. paštas tuebingen.mpg.de
Solon BarocasPrincipal Researcher, Microsoft Research; Adjunct Associate Professor, Information Science, CornellPatvirtintas el. paštas cornell.edu
Chiyuan ZhangGoogle ResearchPatvirtintas el. paštas google.com
Samy BengioSenior Director, AI and ML Research, ApplePatvirtintas el. paštas apple.com
Arvind NarayananProfessor, Princeton UniversityPatvirtintas el. paštas cs.princeton.edu
Eric PriceAssociate Professor of Computer Science at the University of Texas at AustinPatvirtintas el. paštas cs.utexas.edu
Oriol VinyalsResearch Scientist at Google DeepMindPatvirtintas el. paštas google.com
Aaron RothProfessor of Computer Science, University of PennsylvaniaPatvirtintas el. paštas cis.upenn.edu
Ludwig SchmidtStanford University and AnthropicPatvirtintas el. paštas stanford.edu
Richard ZemelProfessor of Computer Science, University of TorontoPatvirtintas el. paštas cs.toronto.edu
Smitha MilliMeta FAIRPatvirtintas el. paštas meta.com
Lydia T. LiuAssistant Professor of Computer Science, Princeton UniversityPatvirtintas el. paštas princeton.edu
Max SimchowitzMITPatvirtintas el. paštas andrew.cmu.edu
Nathan SrebroProfessor, TTIC and University of ChicagoPatvirtintas el. paštas ttic.edu
Yu SunPostdoc, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Tijana ZrnicStanford UniversityPatvirtintas el. paštas stanford.edu
Luca BelliSator LabsPatvirtintas el. paštas berkeley.edu
Sarah DeanCornellPatvirtintas el. paštas cornell.edu

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Moritz Hardt

Max Planck Institute for Intelligent Systems

Patvirtintas el. paštas is.mpg.de - Pagrindinis puslapis

machine learning decision making algorithms


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Understanding deep learning requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals ICLR 2017, 2017	7955*	2017
Equality of opportunity in supervised learning M Hardt, E Price, N Srebro NIPS 2016, 3315-3323, 2016	5381	2016
Fairness through awareness C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel ITCS 2012, 214-226, 2012	4766	2012
Sanity checks for saliency maps J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim NeurIPS 2018, 2018	2495	2018
Fairness and machine learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023	2400*	2023
Train faster, generalize better: Stability of stochastic gradient descent M Hardt, B Recht, Y Singer ICML 2016, 1225-1234, 2015	1525	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	922	2020
Avoiding discrimination through causal reasoning N Kilbertus, MR Carulla, G Parascandolo, M Hardt, D Janzing, ... NIPS 2017, 656-666, 2017	764	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	675*	2020
Delayed impact of fair machine learning LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt ICML 2018, 2018	594	2018
A simple and practical algorithm for differentially private data release M Hardt, K Ligett, F McSherry NIPS 2012, 2348-2356, 2012	588	2012
On the geometry of differential privacy M Hardt, K Talwar STOC 2010, 705-714, 2010	512	2010
A multiplicative weights mechanism for privacy-preserving data analysis M Hardt, GN Rothblum FOCS 2010, 61-70, 2010	508	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	507	2021
Strategic classification M Hardt, N Megiddo, C Papadimitriou, M Wootters ITCS 2016, 111-122, 2016	466	2016
Identity matters in deep learning M Hardt, T Ma ICLR 2017, 2017	447	2017
Preserving statistical validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth STOC 2015, 2014	434	2014
Performative prediction JC Perdomo, T Zrnic, C Mendler-Dünner, M Hardt ICML 2020, 2020	409	2020
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
Gradient descent learns linear dynamical systems M Hardt, T Ma, B Recht Journal of Machine Learning Research 19, 1-44, 2018	380	2018

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