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Moritz Hardt
Moritz Hardt
Director, Max Planck Institute for Intelligent Systems; Associate Professor, EECS, UC Berkeley
Verified email at is.mpg.de - Homepage
Title
Cited by
Cited by
Year
Understanding deep learning requires rethinking generalization
C Zhang, S Bengio, M Hardt, B Recht, O Vinyals
ICLR 2017, 2017
4507*2017
Equality of opportunity in supervised learning
M Hardt, E Price, N Srebro
NIPS 2016, 3315-3323, 2016
27472016
Fairness through awareness
C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel
ITCS 2012, 214-226, 2012
25182012
Sanity checks for saliency maps
J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim
NeurIPS 2018, 2018
11572018
Train faster, generalize better: Stability of stochastic gradient descent
M Hardt, B Recht, Y Singer
ICML 2016, 1225-1234, 2015
9222015
Fairness and Machine Learning
S Barocas, M Hardt, A Narayanan
fairmlbook.org, 2018
839*2018
Avoiding discrimination through causal reasoning
N Kilbertus, MR Carulla, G Parascandolo, M Hardt, D Janzing, ...
NIPS 2017, 656-666, 2017
4982017
A simple and practical algorithm for differentially private data release
M Hardt, K Ligett, F McSherry
NIPS 2012, 2348-2356, 2012
4422012
A multiplicative weights mechanism for privacy-preserving data analysis
M Hardt, GN Rothblum
FOCS 2010, 61-70, 2010
4162010
On the geometry of differential privacy
M Hardt, K Talwar
STOC 2010, 705-714, 2010
3882010
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
ICML 2018, 2018
3522018
Preserving statistical validity in adaptive data analysis
C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth
STOC 2015, 2014
3382014
Identity matters in deep learning
M Hardt, T Ma
ICLR 2017, 2017
3342017
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
3292015
Understanding alternating minimization for matrix completion
M Hardt
FOCS 2014, 2014
2692014
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
259*2020
Gradient descent learns linear dynamical systems
M Hardt, T Ma, B Recht
Journal of Machine Learning Research 19, 1-44, 2018
2562018
Test-time training with self-supervision for generalization under distribution shifts
Y Sun, X Wang, Z Liu, J Miller, A Efros, M Hardt
International conference on machine learning, 9229-9248, 2020
233*2020
Strategic classification
M Hardt, N Megiddo, C Papadimitriou, M Wootters
ITCS 2016, 111-122, 2016
2142016
Generalization in adaptive data analysis and holdout reuse
C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth
NIPS 2015, 2350-2358, 2015
2142015
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