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4 Publications


2023 | Journal Article | IST-REx-ID: 14815 | OA
Beznosikov, Aleksandr, et al. “On Biased Compression for Distributed Learning.” Journal of Machine Learning Research, vol. 24, Journal of Machine Learning Research, 2023, pp. 1–50.
[Published Version] View | Files available | WoS | arXiv
 

2022 | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko, Aleksandr, et al. “Mean-Field Analysis of Piecewise Linear Solutions for Wide ReLU Networks.” Journal of Machine Learning Research, vol. 23, no. 130, Journal of Machine Learning Research, 2022, pp. 1–55.
[Published Version] View | Files available | arXiv
 

2022 | Journal Article | IST-REx-ID: 10802 | OA
Konstantinov, Nikola H., and Christoph Lampert. “Fairness-Aware PAC Learning from Corrupted Data.” Journal of Machine Learning Research, vol. 23, ML Research Press, 2022, pp. 1–60.
[Published Version] View | Files available | arXiv
 

2021 | Journal Article | IST-REx-ID: 10180 | OA
Hoefler, Torsten, et al. “Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks.” Journal of Machine Learning Research, vol. 22, no. 241, Journal of Machine Learning Research, 2021, pp. 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

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