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4205 Publications


2023 | Journal Article | IST-REx-ID: 14452 | OA
Barton, N. H., Etheridge, A. M., & Véber, A. (2023). The infinitesimal model with dominance. Genetics. Oxford Academic. https://doi.org/10.1093/genetics/iyad133
[Published Version] View | Files available | DOI | arXiv
 

2023 | Research Data | IST-REx-ID: 12949 | OA
Barton, N. H. (2023). The infinitesimal model with dominance. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:12949
[Published Version] View | Files available | DOI
 

2023 | Conference Paper | IST-REx-ID: 14461 | OA
Markov, I., Vladu, A., Guo, Q., & Alistarh, D.-A. (2023). Quantized distributed training of large models with convergence guarantees. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 24020–24044). Honolulu, Hawaii, HI, United States: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14462 | OA
Fichtenberger, H., Henzinger, M. H., & Upadhyay, J. (2023). Constant matters: Fine-grained error bound on differentially private continual observation. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10072–10092). Honolulu, Hawaii, HI, United States: ML Research Press.
[Published Version] View | Download Published Version (ext.)
 

2023 | Conference Paper | IST-REx-ID: 14459 | OA
Shevchenko, A., Kögler, K., Hassani, H., & Mondelli, M. (2023). Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 31151–31209). Honolulu, Hawaii, HI, United States: ML Research Press.
[Preprint] View | Download Preprint (ext.) | arXiv
 

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