Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. - Tonmoy Dey; Kento Sato; Bogdan Nicolae; Jian Guo; Jens Domke; Weikuan Yu; Franck Cappello; Kathryn M. Mohror (IPDPS Workshops, 2020)

Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel. - Yixin Chen 007; Tonmoy Dey; Alan Kuhnle (NeurIPS, 2021)

DASH: Distributed Adaptive Sequencing Heuristic for Submodular Maximization. - Tonmoy Dey; Yixin Chen 007; Alan Kuhnle (CoRR, 2022)

DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization. - Tonmoy Dey; Yixin Chen 007; Alan Kuhnle (AAAI, 2023)

RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization. - Yuanhang Shao; Tonmoy Dey; Nikola Vuckovic; Luke Van Popering; Alan Kuhnle (CoRR, 2023)

Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models. - Yixin Chen 007; Tonmoy Dey; Alan Kuhnle (J. Artif. Intell. Res., 2024)