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151 Publications
2020 | Published | Conference Paper | IST-REx-ID: 7636 | 
Brown, Trevor A, Aleksandar Prokopec, and Dan-Adrian Alistarh. “Non-Blocking Interpolation Search Trees with Doubly-Logarithmic Running Time.” In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 276–91. Association for Computing Machinery, 2020. https://doi.org/10.1145/3332466.3374542.
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2020 | Published | Conference Paper | IST-REx-ID: 15086 |
Faghri, Fartash , Iman Tabrizian, Ilia Markov, Dan-Adrian Alistarh, Daniel Roy, and Ali Ramezani-Kebrya. “Adaptive Gradient Quantization for Data-Parallel SGD.” In Advances in Neural Information Processing Systems, Vol. 33. Neural Information Processing Systems Foundation, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 15077 |
Alistarh, Dan-Adrian, Dynamic averaging load balancing on cycles. 47th International Colloquium on Automata, Languages, and Programming 168. 2020
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2020 | Published | Conference Paper | IST-REx-ID: 7213 |
Bhatia, Sumit, A persistent homology perspective to the link prediction problem. Complex Networks and their applications VIII 881. 2020
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2020 | Published | Conference Paper | IST-REx-ID: 7803 |
Czumaj, Artur, Peter Davies, and Merav Parter. “Simple, Deterministic, Constant-Round Coloring in the Congested Clique.” In Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing, 309–18. Association for Computing Machinery, 2020. https://doi.org/10.1145/3382734.3405751.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7802 |
Czumaj, Artur, Peter Davies, and Merav Parter. “Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space.” In Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020), 175–85. Association for Computing Machinery, 2020. https://doi.org/10.1145/3350755.3400282.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7272 |
Arbel-Raviv, Maya, Trevor A Brown, and Adam Morrison. “Getting to the Root of Concurrent Binary Search Tree Performance.” In Proceedings of the 2018 USENIX Annual Technical Conference, 295–306. USENIX Association, 2020.
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2020 | Published | Conference Paper | IST-REx-ID: 9632 |
Singh, Sidak Pal, and Dan-Adrian Alistarh. “WoodFisher: Efficient Second-Order Approximation for Neural Network Compression,” 33:18098–109. Neural Information Processing Systems Foundation, 2020.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9631 |
Aksenov, Vitaly, Dan-Adrian Alistarh, and Janne Korhonen. “Scalable Belief Propagation via Relaxed Scheduling,” 33:22361–72. Neural Information Processing Systems Foundation, 2020.
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 7224 |
Rybicki, Joel, Nerea Abrego, and Otso Ovaskainen. “Habitat Fragmentation and Species Diversity in Competitive Communities.” Ecology Letters. Wiley, 2020. https://doi.org/10.1111/ele.13450.
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| PubMed | Europe PMC
2020 | Published | Conference Paper | IST-REx-ID: 7635 |
Koval, Nikita, Mariia Sokolova, Alexander Fedorov, Dan-Adrian Alistarh, and Dmitry Tsitelov. “Testing Concurrency on the JVM with Lincheck.” In Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 423–24. Association for Computing Machinery, 2020. https://doi.org/10.1145/3332466.3374503.
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2020 | Published | Conference Paper | IST-REx-ID: 8724 |
Konstantinov, Nikola H, Elias Frantar, Dan-Adrian Alistarh, and Christoph Lampert. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” In Proceedings of the 37th International Conference on Machine Learning, 119:5416–25. ML Research Press, 2020.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 9198 |
Shevchenko, Aleksandr, and Marco Mondelli. “Landscape Connectivity and Dropout Stability of SGD Solutions for Over-Parameterized Neural Networks.” In Proceedings of the 37th International Conference on Machine Learning, 119:8773–84. ML Research Press, 2020.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 5947 |
Chatterjee, Bapi, Sathya Peri, Muktikanta Sa, and Nandini Singhal. “A Simple and Practical Concurrent Non-Blocking Unbounded Graph with Linearizable Reachability Queries.” In ACM International Conference Proceeding Series, 168–77. ACM, 2019. https://doi.org/10.1145/3288599.3288617.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7437 |
Yu, Chen, Hanlin Tang, Cedric Renggli, Simon Kassing, Ankit Singla, Dan-Adrian Alistarh, Ce Zhang, and Ji Liu. “Distributed Learning over Unreliable Networks.” In 36th International Conference on Machine Learning, ICML 2019, 2019–June:12481–512. IMLS, 2019.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7122
Khirirat, Sarit, Mikael Johansson, and Dan-Adrian Alistarh. “Gradient Compression for Communication-Limited Convex Optimization.” In 2018 IEEE Conference on Decision and Control. IEEE, 2019. https://doi.org/10.1109/cdc.2018.8619625.
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2019 | Published | Journal Article | IST-REx-ID: 7214 |
Aganezov, Sergey, Ilya Zban, Vitalii Aksenov, Nikita Alexeev, and Michael C. Schatz. “Recovering Rearranged Cancer Chromosomes from Karyotype Graphs.” BMC Bioinformatics. BMC, 2019. https://doi.org/10.1186/s12859-019-3208-4.
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2019 | Published | Conference Paper | IST-REx-ID: 7228
Koval, Nikita, Dan-Adrian Alistarh, and Roman Elizarov. “Scalable FIFO Channels for Programming via Communicating Sequential Processes.” In 25th Anniversary of Euro-Par, 11725:317–33. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-29400-7_23.
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2019 | Published | Conference Poster | IST-REx-ID: 6485
Koval, Nikita, Dan-Adrian Alistarh, and Roman Elizarov. Lock-Free Channels for Programming via Communicating Sequential Processes. Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming. ACM, 2019. https://doi.org/10.1145/3293883.3297000.
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2019 | Published | Conference Paper | IST-REx-ID: 7542 |
Wendler, Chris, Dan-Adrian Alistarh, and Markus Püschel. “Powerset Convolutional Neural Networks,” 32:927–38. Neural Information Processing Systems Foundation, 2019.
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