4 Publications

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[4]
2025 | Published | Conference Paper | IST-REx-ID: 20034 | OA
T. Robert, M. Safaryan, I.-V. Modoranu, and D.-A. Alistarh, “LDAdam: Adaptive optimization from low-dimensional gradient statistics,” in 13th International Conference on Learning Representations, Singapore, Singapore, 2025, pp. 101877–101913.
[Published Version] View | Files available | arXiv
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 18975 | OA
I.-V. Modoranu, A. Kalinov, E. Kurtic, E. Frantar, and D.-A. Alistarh, “Error feedback can accurately compress preconditioners,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 35910–35933.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 19518 | OA
D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, and D.-A. Alistarh, “The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 19510 | OA
I.-V. Modoranu et al., “MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence,” in 38th Conference on Neural Information Processing Systems, 2024, vol. 37.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

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4 Publications

Mark all

[4]
2025 | Published | Conference Paper | IST-REx-ID: 20034 | OA
T. Robert, M. Safaryan, I.-V. Modoranu, and D.-A. Alistarh, “LDAdam: Adaptive optimization from low-dimensional gradient statistics,” in 13th International Conference on Learning Representations, Singapore, Singapore, 2025, pp. 101877–101913.
[Published Version] View | Files available | arXiv
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 18975 | OA
I.-V. Modoranu, A. Kalinov, E. Kurtic, E. Frantar, and D.-A. Alistarh, “Error feedback can accurately compress preconditioners,” in 41st International Conference on Machine Learning, Vienna, Austria, 2024, vol. 235, pp. 35910–35933.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 19518 | OA
D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, and D.-A. Alistarh, “The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 19510 | OA
I.-V. Modoranu et al., “MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence,” in 38th Conference on Neural Information Processing Systems, 2024, vol. 37.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

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