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151 Publications
2018 | Published | Conference Paper | IST-REx-ID: 5962 | 
Alistarh, Dan-Adrian, et al. “The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, ACM, 2018, pp. 169–78, doi:10.1145/3212734.3212763.
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2018 | Published | Conference Paper | IST-REx-ID: 5961
Alistarh, Dan-Adrian. “A Brief Tutorial on Distributed and Concurrent Machine Learning.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, ACM, 2018, pp. 487–88, doi:10.1145/3212734.3212798.
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2018 | Published | Conference Paper | IST-REx-ID: 5964 |
Aksenov, Vitaly, et al. “Brief Announcement: Performance Prediction for Coarse-Grained Locking.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, ACM, 2018, pp. 411–13, doi:10.1145/3212734.3212785.
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2018 | Published | Conference Paper | IST-REx-ID: 5965 |
Alistarh, Dan-Adrian, et al. “Distributionally Linearizable Data Structures.” Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures - SPAA ’18, ACM, 2018, pp. 133–42, doi:10.1145/3210377.3210411.
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2018 | Published | Conference Paper | IST-REx-ID: 5966 |
Alistarh, Dan-Adrian, et al. “The Transactional Conflict Problem.” Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures - SPAA ’18, ACM, 2018, pp. 383–92, doi:10.1145/3210377.3210406.
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2018 | Published | Conference Paper | IST-REx-ID: 6589 |
Alistarh, Dan-Adrian, et al. “The Convergence of Sparsified Gradient Methods.” Advances in Neural Information Processing Systems 31, vol. Volume 2018, Neural Information Processing Systems Foundation, 2018, pp. 5973–83.
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2018 | Published | Conference Paper | IST-REx-ID: 7812 |
Polino, Antonio, et al. “Model Compression via Distillation and Quantization.” 6th International Conference on Learning Representations, 2018.
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2017 | Published | Conference Paper | IST-REx-ID: 487
Baig, Ghufran, et al. “Towards Unlicensed Cellular Networks in TV White Spaces.” Proceedings of the 2017 13th International Conference on Emerging Networking EXperiments and Technologies, ACM, 2017, pp. 2–14, doi:10.1145/3143361.3143367.
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2017 | Published | Conference Paper | IST-REx-ID: 432 |
Zhang, Hantian, ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning. Proceedings of Machine Learning Research 70. 2017
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2017 | Published | Conference Paper | IST-REx-ID: 431 |
Alistarh, Dan-Adrian, QSGD: Communication-efficient SGD via gradient quantization and encoding. 2017. 2017
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2017 | Published | Conference Paper | IST-REx-ID: 791 |
Alistarh, Dan-Adrian, et al. “The Power of Choice in Priority Scheduling.” Proceedings of the ACM Symposium on Principles of Distributed Computing, vol. Part F129314, ACM, 2017, pp. 283–92, doi:10.1145/3087801.3087810.
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