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Metric and Kernel Learning Using a Linear Transformation., , , and . J. Mach. Learn. Res., (2012)Robust Training in High Dimensions via Block Coordinate Geometric Median Descent., , , , , and . CoRR, (2021)Automatic Engineering of Long Prompts., , , and . CoRR, (2023)EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval., , , , , and . CoRR, (2023)Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5801-5809. PMLR, (2018)Fast coordinate descent methods with variable selection for non-negative matrix factorization., and . KDD, page 1064-1072. ACM, (2011)Class visualization of high-dimensional data with applications., , and . Comput. Stat. Data Anal., 41 (1): 59-90 (2002)Low-rank kernel learning with Bregman matrix divergences, , and . Journal of Machine Learning Research, 10 (Feb): 341--376 (2009)Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing., , and . ICDM, page 817-826. IEEE Computer Society, (2013)Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees., , , , and . WWW, page 452-461. ACM, (2022)