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A Hierarchical Algorithm for Extreme Clustering

, , , and . Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, (August 2017)
DOI: 10.1145/3097983.3098079

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Sample Complexity of Learning Mixtures of Sparse Linear Regressions., , , and . CoRR, (2019)Subspace learning from extremely compressed measurements., , and . ACSSC, page 311-315. IEEE, (2014)Extreme Compressive Sampling for Covariance Estimation., , and . IEEE Trans. Inf. Theory, 64 (12): 7613-7635 (2018)Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning., , , , , , , and . AKBC@NIPS, OpenReview.net, (2017)Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 558-588. PMLR, (2019)Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability., and . CoRR, (2021)Guaranteed Discovery of Controllable Latent States with Multi-Step Inverse Models., , , , , , , , , and . CoRR, (2022)Universal and data-adaptive algorithms for model selection in linear contextual bandits., and . CoRR, (2021)Provable RL with Exogenous Distractors via Multistep Inverse Dynamics., , , , and . CoRR, (2021)Robust Dynamic Assortment Optimization in the Presence of Outlier Customers., , and . CoRR, (2019)