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Tan D. Tran

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Conference Open access Sep 2026

Efficient Parallel Algorithms with Linear Queries for Non-Monotone Submodular Maximization

In this work, we propose the first constant-approximation algorithms, LinAst and LinAtg, which simultaneously achieve optimal query complexity O(n) and adaptive complexity O(log n) for non-monotone submodular maximization under a cardinality constraint k over a ground set of size n. Specifically, compared with existing...

Canh V. Pham, Tan D. Tran, Dung T. K. Ha et al. · 0 citations
Conference Open access Sep 2026

Fairness k-Submodular Maximization Subject to Matroid Constraint

Comprehensive experiments on standard benchmark datasets demonstrate that the introduced constant-factor approximation algorithm achieves competitive objective values while maintaining a favorable balance between fairness guarantees and query complexity efficiency compared to existing state-of-the-art methods.

Tan D. Tran, Canh V. Pham, P. Pham · 0 citations

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