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2020 – today
- 2024
[j1]Yixin Chen, Tonmoy Dey, Alan Kuhnle:
Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models. J. Artif. Intell. Res. 80: 1575-1622 (2024)- 2023
- [c3]Tonmoy Dey, Yixin Chen, Alan Kuhnle:
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization. AAAI 2023: 3941-3948 - [i3]Yuanhang Shao, Tonmoy Dey, Nikola Vuckovic, Luke Van Popering, Alan Kuhnle:
RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization. CoRR abs/2304.06048 (2023) - 2022
- [i2]Tonmoy Dey, Yixin Chen, Alan Kuhnle:
DASH: Distributed Adaptive Sequencing Heuristic for Submodular Maximization. CoRR abs/2206.09563 (2022) - 2021
- [c2]Yixin Chen, Tonmoy Dey, Alan Kuhnle:
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel. NeurIPS 2021: 25528-25539 - [i1]Yixin Chen, Tonmoy Dey, Alan Kuhnle:
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel. CoRR abs/2111.07917 (2021) - 2020
- [c1]Tonmoy Dey, Kento Sato, Bogdan Nicolae
, Jian Guo, Jens Domke, Weikuan Yu, Franck Cappello, Kathryn M. Mohror:
Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. IPDPS Workshops 2020: 1036-1043
Coauthor Index
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