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On Approximation Guarantees for Greedy Low Rank Optimization., , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1837-1846. PMLR, (2017)Translating relevance scores to probabilities for contextual advertising., , , , и . CIKM, стр. 1899-1902. ACM, (2009)Information Projection and Approximate Inference for Structured Sparse Variables., , , и . CoRR, (2016)Boosting Variational Inference: an Optimization Perspective., , , и . CoRR, (2017)Structured learning for non-smooth ranking losses., , , и . KDD, стр. 88-96. ACM, (2008)Geometric rates of convergence for kernel-based sampling algorithms., , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 2156-2164. AUAI Press, (2021)On Prior Distributions and Approximate Inference for Structured Variables., , , и . NIPS, стр. 676-684. (2014)Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method., , и . NeurIPS, (2020)Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization., , и . KDD, стр. 17-28. ACM, (2024)Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract)., , и . IJCAI, стр. 4765-4769. ijcai.org, (2021)