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168 Publications


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

2022 | Published | Conference Paper | IST-REx-ID: 11707 | OA
Balliu A, Hirvonen J, Melnyk D, Olivetti D, Rybicki J, Suomela J. Local mending. In: Parter M, ed. International Colloquium on Structural Information and Communication Complexity. Vol 13298. LNCS. Springer Nature; 2022:1-20. doi:10.1007/978-3-031-09993-9_1
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 11844 | OA
Alistarh D-A, Rybicki J, Voitovych S. Near-optimal leader election in population protocols on graphs. In: Proceedings of the Annual ACM Symposium on Principles of Distributed Computing. Association for Computing Machinery; 2022:246-256. doi:10.1145/3519270.3538435
[Published Version] View | Files available | DOI | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12182 | OA
Pacut M, Parham M, Rybicki J, Schmid S, Suomela J, Tereshchenko A. Brief announcement: Temporal locality in online algorithms. In: 36th International Symposium on Distributed Computing. Vol 246. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.DISC.2022.52
[Published Version] View | Files available | DOI
 

2022 | Research Data Reference | IST-REx-ID: 13076 | OA
Postnikova A, Koval N, Nadiradze G, Alistarh D-A. Multi-queues can be state-of-the-art priority schedulers. 2022. doi:10.5281/ZENODO.5733408
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2022 | Published | Conference Paper | IST-REx-ID: 11180 | OA
Postnikova A, Koval N, Nadiradze G, Alistarh D-A. Multi-queues can be state-of-the-art priority schedulers. In: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery; 2022:353-367. doi:10.1145/3503221.3508432
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 11181 | OA
Brown TA, Sigouin W, Alistarh D-A. PathCAS: An efficient middle ground for concurrent search data structures. In: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery; 2022:385-399. doi:10.1145/3503221.3508410
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2022 | Published | Conference Paper | IST-REx-ID: 11183 | OA
Nikabadi A, Korhonen J. Beyond distributed subgraph detection: Induced subgraphs, multicolored problems and graph parameters. In: Bramas Q, Gramoli V, Milani A, eds. 25th International Conference on Principles of Distributed Systems. Vol 217. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.OPODIS.2021.15
[Published Version] View | Files available | DOI
 

2022 | Published | Conference Paper | IST-REx-ID: 11184 | OA
Alistarh D-A, Gelashvili R, Rybicki J. Fast graphical population protocols. In: Bramas Q, Gramoli V, Milani A, eds. 25th International Conference on Principles of Distributed Systems. Vol 217. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.OPODIS.2021.14
[Published Version] View | Files available | DOI | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 17059 | OA
Frantar E, Alistarh D-A. SPDY: Accurate pruning with speedup guarantees. In: 39th International Conference on Machine Learning. Vol 162. ML Research Press; 2022:6726-6743.
[Published Version] View | Files available | WoS
 

2022 | Published | Conference Paper | IST-REx-ID: 17088 | OA
Kurtic E, Campos D, Nguyen T, et al. The optimal BERT surgeon: Scalable and accurate second-order pruning for large language models. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2022:4163-4181. doi:10.18653/v1/2022.emnlp-main.279
[Published Version] View | Files available | DOI | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 8286 | OA
Alistarh D-A, Nadiradze G, Sabour A. Dynamic averaging load balancing on cycles. Algorithmica. 2022;84(4):1007-1029. doi:10.1007/s00453-021-00905-9
[Published Version] View | Files available | DOI | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 17087 | OA
Frantar E, Singh SP, Alistarh D-A. Optimal brain compression: A framework for accurate post-training quantization and pruning. In: 36th Conference on Neural Information Processing Systems. Vol 35. ML Research Press; 2022.
[Submitted Version] View | Files available | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12780 | OA
Markov I, Ramezanikebrya H, Alistarh D-A. CGX: Adaptive system support for communication-efficient deep learning. In: Proceedings of the 23rd ACM/IFIP International Middleware Conference. Association for Computing Machinery; 2022:241-254. doi:10.1145/3528535.3565248
[Published Version] View | Files available | DOI | WoS | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 12299 | OA
Iofinova EB, Krumes A, Kurtz M, Alistarh D-A. How well do sparse ImageNet models transfer? In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers; 2022:12256-12266. doi:10.1109/cvpr52688.2022.01195
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2022 | Published | Journal Article | IST-REx-ID: 11420 | OA
Shevchenko A, Kungurtsev V, Mondelli M. Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. 2022;23(130):1-55.
[Published Version] View | Files available | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 11452 | OA
Alimisis F, Davies P, Vandereycken B, Alistarh D-A. Distributed principal component analysis with limited communication. In: Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems. Vol 4. Neural Information Processing Systems Foundation; 2021:2823-2834.
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2021 | Published | Conference Paper | IST-REx-ID: 11463 | OA
Frantar E, Kurtic E, Alistarh D-A. M-FAC: Efficient matrix-free approximations of second-order information. In: 35th Conference on Neural Information Processing Systems. Vol 34. Neural Information Processing Systems Foundation; 2021:14873-14886.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 11464 | OA
Alistarh D-A, Korhonen J. Towards tight communication lower bounds for distributed optimisation. In: 35th Conference on Neural Information Processing Systems. Vol 34. Neural Information Processing Systems Foundation; 2021:7254-7266.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 13147 | OA
Alimisis F, Davies P, Alistarh D-A. Communication-efficient distributed optimization with quantized preconditioners. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:196-206.
[Published Version] View | Files available | arXiv
 

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