Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models.
J. Artif. Intell. Res., 2024
RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization.
CoRR, 2023
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
DASH: Distributed Adaptive Sequencing Heuristic for Submodular Maximization.
CoRR, 2022
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020