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"Bring Your Own Greedy"+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack.

, , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3263-3274. PMLR, (2020)

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Tree Learning: Optimal Algorithms and Sample Complexity., , , , , и . CoRR, (2023)Objective-Based Hierarchical Clustering of Deep Embedding Vectors., , и . AAAI, стр. 9055-9063. AAAI Press, (2021)Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent., , и . Proc. VLDB Endow., 12 (8): 906-919 (2019)Approximation Scheme for Weighted Metric Clustering via Sherali-Adams., , , и . AAAI, стр. 7926-7934. AAAI Press, (2024)"Bring Your Own Greedy"+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3263-3274. PMLR, (2020)"Bring Your Own Greedy"+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack., , и . CoRR, (2019)HOUDINI: Escaping from Moderately Constrained Saddles., и . CoRR, (2022)Optimal Sample Complexity of Contrastive Learning., , , , и . CoRR, (2023)Adversarially Robust Submodular Maximization under Knapsack Constraints., , , и . KDD, стр. 148-156. ACM, (2019)Objective-Based Hierarchical Clustering of Deep Embedding Vectors., , и . CoRR, (2020)