Understanding deep learning requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals ICLR 2017, 2017 | 6870* | 2017 |
Equality of opportunity in supervised learning M Hardt, E Price, N Srebro NIPS 2016, 3315-3323, 2016 | 4532 | 2016 |
Fairness through awareness C Dwork, M Hardt, T Pitassi, O Reingold, R Zemel ITCS 2012, 214-226, 2012 | 4064 | 2012 |
Sanity checks for saliency maps J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim NeurIPS 2018, 2018 | 2120 | 2018 |
Fairness in machine learning: Limitations and Opportunities S Barocas, M Hardt, A Narayanan MIT Press, 2023 | 1772* | 2023 |
Train faster, generalize better: Stability of stochastic gradient descent M Hardt, B Recht, Y Singer ICML 2016, 1225-1234, 2015 | 1335 | 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 | 691* | 2020 |
Avoiding discrimination through causal reasoning N Kilbertus, MR Carulla, G Parascandolo, M Hardt, D Janzing, ... NIPS 2017, 656-666, 2017 | 679 | 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 | 556* | 2020 |
A simple and practical algorithm for differentially private data release M Hardt, K Ligett, F McSherry NIPS 2012, 2348-2356, 2012 | 553 | 2012 |
Delayed impact of fair machine learning LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt ICML 2018, 2018 | 521 | 2018 |
On the geometry of differential privacy M Hardt, K Talwar STOC 2010, 705-714, 2010 | 477 | 2010 |
A multiplicative weights mechanism for privacy-preserving data analysis M Hardt, GN Rothblum FOCS 2010, 61-70, 2010 | 476 | 2010 |
Identity matters in deep learning M Hardt, T Ma ICLR 2017, 2017 | 426 | 2017 |
Preserving statistical validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth STOC 2015, 2014 | 401 | 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 | 391 | 2015 |
Strategic classification M Hardt, N Megiddo, C Papadimitriou, M Wootters ITCS 2016, 111-122, 2016 | 377 | 2016 |
Retiring Adult: New datasets for fair machine learning F Ding, M Hardt, J Miller, L Schmidt Advances in Neural Information Processing Systems 34, 2021 | 361 | 2021 |
Gradient descent learns linear dynamical systems M Hardt, T Ma, B Recht Journal of Machine Learning Research 19, 1-44, 2018 | 344 | 2018 |
Performative prediction JC Perdomo, T Zrnic, C Mendler-Dünner, M Hardt ICML 2020, 2020 | 304 | 2020 |