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Hierarchical Clustering for Euclidean Data.

, , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2721-2730. PMLR, (2019)

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"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)Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection., , , , , , and . CoRR, (2019)Adversarially Robust Submodular Maximization under Knapsack Constraints., , , and . KDD, page 148-156. ACM, (2019)Hierarchical Clustering for Euclidean Data., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2721-2730. PMLR, (2019)Fast Fourier Sparsity Testing., and . SOSA, page 57-68. SIAM, (2020)Objective-Based Hierarchical Clustering of Deep Embedding Vectors., , and . AAAI, page 9055-9063. AAAI Press, (2021)Optimality of Linear Sketching Under Modular Updates., , and . CCC, volume 137 of LIPIcs, page 13:1-13:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection., , , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3121-3132. PMLR, (2020)Tree Learning: Optimal Algorithms and Sample Complexity., , , , , and . CoRR, (2023)Beating the Direct Sum Theorem in Communication Complexity with Implications for Sketching., , and . SODA, page 1738-1756. SIAM, (2013)