| Optimal continual learning has perfect memory and is np-hard J Knoblauch, H Husain, T Diethe International Conference on Machine Learning, 5327-5337, 2020 | 99 | 2020 |
| A primal-dual link between gans and autoencoders H Husain, R Nock, RC Williamson Advances in Neural Information Processing Systems 32, 2019 | 25* | 2019 |
| Distributional robustness with ipms and links to regularization and gans H Husain Advances in Neural Information Processing Systems 33, 11816-11827, 2020 | 21 | 2020 |
| Regularized policies are reward robust H Husain, K Ciosek, R Tomioka International Conference on Artificial Intelligence and Statistics, 64-72, 2021 | 17 | 2021 |
| Local differential privacy for sampling H Husain, B Balle, Z Cranko, R Nock International Conference on Artificial Intelligence and Statistics, 3404-3413, 2020 | 10 | 2020 |
| Distributionally Robust Bayesian Optimization with -divergences H Husain, V Nguyen, A van den Hengel Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Adversarial interpretation of Bayesian inference H Husain, J Knoblauch International Conference on Algorithmic Learning Theory, 553-572, 2022 | 5 | 2022 |
| Confident sinkhorn allocation for pseudo-labeling V Nguyen, H Husain, S Farfade, A Hengel arXiv preprint arXiv:2206.05880, 2022 | 3 | 2022 |
| Data preprocessing to mitigate bias with boosted fair mollifiers A Soen, H Husain, R Nock arXiv preprint arXiv:2012.00188, 2020 | 2 | 2020 |
| Fair densities via boosting the sufficient statistics of exponential families A Soen, H Husain, R Nock International Conference on Machine Learning, 32105-32144, 2023 | 1 | 2023 |
| Semi-supervised semantic segmentation under label noise via diverse learning groups P Li, P Purkait, T Ajanthan, M Abdolshah, R Garg, H Husain, C Xu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Improving the Convergence of Dynamic NeRFs via Optimal Transport S Ramasinghe, V Shevchenko, G Avraham, H Husain, A van den Hengel The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| A Law of Robustness for Weight-bounded Neural Networks H Husain, B Balle arXiv preprint arXiv:2102.08093, 2021 | | 2021 |
| A Theory of Generative Models and Robustness via Regularization H Husain PQDT-Global, 2021 | | 2021 |
| Risk-Monotonicity via Distributional Robustness. Z Mhammedi, H Husain arXiv preprint arXiv:2011.14126, 2020 | | 2020 |
| Integral Privacy for Sampling H Husain, Z Cranko, R Nock arXiv preprint arXiv:1806.04819, 2018 | | 2018 |
| Generalization for Discriminator-Guided Diffusion Models via Strong Duality H Husain, R Nock | | |
| Supplementary Material for “Distributional Robustness with IPMs and links to Regularization and GANs” H Husain | | |
Richard NockGoogle ResearchVerified email at uniagro.fr
