Hisham Husain
Hisham Husain
Amazon Research
Verified email at amazon.com
Title
Cited by
Cited by
Year
Optimal continual learning has perfect memory and is np-hard
J Knoblauch, H Husain, T Diethe
International Conference on Machine Learning, 5327-5337, 2020
212020
A primal-dual link between gans and autoencoders
H Husain, R Nock, RC Williamson
Advances in Neural Information Processing Systems 32, 415-424, 2019
12*2019
Distributional Robustness with IPMs and links to Regularization and GANs
H Husain
arXiv preprint arXiv:2006.04349, 2020
72020
Local differential privacy for sampling
H Husain, B Balle, Z Cranko, R Nock
International Conference on Artificial Intelligence and Statistics, 3404-3413, 2020
32020
Regularized Policies are Reward Robust
H Husain, K Ciosek, R Tomioka
International Conference on Artificial Intelligence and Statistics, 64-72, 2021
22021
Risk Monotonicity in Statistical Learning
Z Mhammedi
Advances in Neural Information Processing Systems 34, 2021
12021
A Law of Robustness for Weight-bounded Neural Networks
H Husain, B Balle
arXiv preprint arXiv:2102.08093, 2021
2021
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers
A Soen, H Husain, R Nock
arXiv preprint arXiv:2012.00188, 2020
2020
Risk-Monotonicity via Distributional Robustness
Z Mhammedi, H Husain
arXiv e-prints, arXiv: 2011.14126, 2020
2020
Integral Privacy for Sampling
H Husain, Z Cranko, R Nock
arXiv preprint arXiv:1806.04819, 2018
2018
Supplementary Material for “Distributional Robustness with IPMs and links to Regularization and GANs”
H Husain
Optimal Continual Learning has Perfect Memory and is NP-hard Download PDF
J Knoblauch, H Husain, T Diethe
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Articles 1–12