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