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118 Publications

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 | Conference Paper | IST-REx-ID: 12182 | OA
Pacut, Maciej, et al. “Brief Announcement: Temporal Locality in Online Algorithms.” 36th International Symposium on Distributed Computing, vol. 246, 52, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, doi:10.4230/LIPIcs.DISC.2022.52.
[Published Version] View | Files available | DOI
 
2022 | Conference Paper | IST-REx-ID: 12780 | OA
Markov, Ilia, et al. “CGX: Adaptive System Support for Communication-Efficient Deep Learning.” Proceedings of the 23rd ACM/IFIP International Middleware Conference, Association for Computing Machinery, 2022, pp. 241–54, doi:10.1145/3528535.3565248.
[Published Version] View | Files available | DOI | arXiv
 
2022 | Conference Paper | IST-REx-ID: 11844 | OA
Alistarh, Dan-Adrian, et al. “Near-Optimal Leader Election in Population Protocols on Graphs.” Proceedings of the Annual ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2022, pp. 246–56, doi:10.1145/3519270.3538435.
[Published Version] View | Files available | DOI | arXiv
 
2022 | Conference Paper | IST-REx-ID: 11181 | OA
Brown, Trevor A., et al. “PathCAS: An Efficient Middle Ground for Concurrent Search Data Structures.” Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 385–99, doi:10.1145/3503221.3508410.
[Published Version] View | Files available | DOI | WoS
 
2022 | Conference Paper | IST-REx-ID: 11180 | OA
Postnikova, Anastasiia, et al. “Multi-Queues Can Be State-of-the-Art Priority Schedulers.” Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–67, doi:10.1145/3503221.3508432.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Research Data Reference | IST-REx-ID: 13076 | OA
Postnikova, Anastasiia, et al. Multi-Queues Can Be State-of-the-Art Priority Schedulers. Zenodo, 2022, doi:10.5281/ZENODO.5733408.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 
2022 | Conference Paper | IST-REx-ID: 11707 | OA
Balliu, Alkida, et al. “Local Mending.” International Colloquium on Structural Information and Communication Complexity, edited by Merav Parter, vol. 13298, Springer Nature, 2022, pp. 1–20, doi:10.1007/978-3-031-09993-9_1.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2022 | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova, Eugenia B., et al. “How Well Do Sparse ImageNet Models Transfer?” 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 12256–66, doi:10.1109/cvpr52688.2022.01195.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | 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
 
2021 | Conference Paper | IST-REx-ID: 10218 | OA
Alistarh, Dan-Adrian, et al. “Brief Announcement: Fast Graphical Population Protocols.” 35th International Symposium on Distributed Computing, vol. 209, 43, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.43.
[Published Version] View | Files available | DOI | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10217 | OA
Alistarh, Dan-Adrian, et al. “Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention.” 35th International Symposium on Distributed Computing, vol. 209, 4, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.4.
[Published Version] View | Files available | DOI
 
2021 | Conference Paper | IST-REx-ID: 10216 | OA
Chatterjee, Bapi, et al. “Brief Announcement: Non-Blocking Dynamic Unbounded Graphs with Worst-Case Amortized Bounds.” 35th International Symposium on Distributed Computing, vol. 209, 52, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.52.
[Published Version] View | Files available | DOI | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10219 | OA
Korhonen, Janne, et al. “Brief Announcement: Sinkless Orientation Is Hard Also in the Supported LOCAL Model.” 35th International Symposium on Distributed Computing, vol. 209, 58, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.58.
[Published Version] View | Files available | DOI | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10853 | OA
Fedorov, Alexander, et al. “A Scalable Concurrent Algorithm for Dynamic Connectivity.” Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2021, pp. 208–20, doi:10.1145/3409964.3461810.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 11436 | OA
Kungurtsev, Vyacheslav, et al. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 35, no. 9B, AAAI Press, 2021, pp. 8209–16.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 11452 | OA
Alimisis, Foivos, et al. “Distributed Principal Component Analysis with Limited Communication.” Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, vol. 4, Neural Information Processing Systems Foundation, 2021, pp. 2823–34.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 11463 | OA
Frantar, Elias, et al. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 14873–86.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 11464 | OA
Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 7254–66.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Conference Paper | IST-REx-ID: 9543 | OA
Davies, Peter, et al. “New Bounds for Distributed Mean Estimation and Variance Reduction.” 9th International Conference on Learning Representations, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 

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