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25 Publications
2022 | Published | Conference Paper | IST-REx-ID: 13241 | 
Konstantinov, N. H., & Lampert, C. (2022). On the impossibility of fairness-aware learning from corrupted data. In Proceedings of Machine Learning Research (Vol. 171, pp. 59–83). ML Research Press.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 13239 |
Van Der Plas, T. L., Vogels, T. P., & Manohar, S. G. (2022). Predictive learning enables neural networks to learn complex working memory tasks. In Proceedings of Machine Learning Research (Vol. 199, pp. 518–531). ML Research Press.
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2021 | Published | Conference Paper | IST-REx-ID: 13147 |
Alimisis, F., Davies, P., & Alistarh, D.-A. (2021). Communication-efficient distributed optimization with quantized preconditioners. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 196–206). Virtual: ML Research Press.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 13146 |
Nguyen, Q., Mondelli, M., & Montufar, G. (2021). Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 8119–8129). Virtual: ML Research Press.
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| arXiv
2017 | Published | Conference Paper | IST-REx-ID: 11651 |
Wang, D., Fountoulakis, K., Henzinger, M., Mahoney, M. W., & Rao , Satish. (2017). Capacity releasing diffusion for speed and locality. In Proceedings of the 34th International Conference on Machine Learning (Vol. 70, pp. 3598–3607). Sydney, Australia: ML Research Press.
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| arXiv