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34 Publications
2024 | Published | Conference Paper | IST-REx-ID: 18972 | 
Bombari S, Mondelli M. 2024. How spurious features are memorized: Precise analysis for random and NTK features. 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 4267–4299.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18115 |
Axiotis K, Cohen-Addad V, Henzinger M, Jerome S, Mirrokni V, Saulpic D, Woodruff DP, Wunder M. 2024. Data-efficient learning via clustering-based sensitivity sampling: Foundation models and beyond. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 2086–2107.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18116 |
La Tour MD, Henzinger M, Saulpic D. 2024. Making old things new: A unified algorithm for differentially private clustering. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 12046–12086.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18121 |
Moakhar AS, Iofinova EB, Frantar E, Alistarh D-A. 2024. SPADE: Sparsity-guided debugging for deep neural networks. Proceedings of the 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 45955–45987.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14460 |
Nikdan M, Pegolotti T, Iofinova EB, Kurtic E, Alistarh D-A. 2023. SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 26215–26227.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14458 |
Frantar E, Alistarh D-A. 2023. SparseGPT: Massive language models can be accurately pruned in one-shot. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 10323–10337.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14461 |
Markov I, Vladu A, Guo Q, Alistarh D-A. 2023. Quantized distributed training of large models with convergence guarantees. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 24020–24044.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14462 |
Fichtenberger H, Henzinger M, Upadhyay J. 2023. Constant matters: Fine-grained error bound on differentially private continual observation. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 10072–10092.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14459 |
Shevchenko A, Kögler K, Hassani H, Mondelli M. 2023. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 31151–31209.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 13241 |
Konstantinov NH, Lampert C. 2022. On the impossibility of fairness-aware learning from corrupted data. Proceedings of Machine Learning Research. vol. 171, 59–83.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 13239 |
Van Der Plas TL, Vogels TP, Manohar SG. 2022. Predictive learning enables neural networks to learn complex working memory tasks. Proceedings of Machine Learning Research. vol. 199, 518–531.
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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. Proceedings of the 38th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 139, 196–206.
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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. Proceedings of the 38th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 139, 8119–8129.
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| arXiv
2017 | Published | Conference Paper | IST-REx-ID: 11651 |
Wang D, Fountoulakis K, Henzinger M, Mahoney MW, Rao Satish. 2017. Capacity releasing diffusion for speed and locality. Proceedings of the 34th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 70, 3598–3607.
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| arXiv