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Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.

, , , , and . ICLR, OpenReview.net, (2021)

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MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2797-2807. PMLR, (2020)Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction., , and . CoNLL, page 38-46. ACL, (2013)Near-Optimal MAP Inference for Determinantal Point Processes., , and . NIPS, page 2744-2752. (2012)Posterior Sparsity in Unsupervised Dependency Parsing., , , , and . J. Mach. Learn. Res., (2011)Sparsity in dependency grammar induction, , , , and . Proceedings of the ACL 2010 Conference Short Papers, page 194--199. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)A Joint Exponential Mechanism For Differentially Private Top-k., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7570-7582. PMLR, (2022)Practical Diversified Recommendations on YouTube with Determinantal Point Processes., , , , , and . CIKM, page 2165-2173. ACM, (2018)Expectation-Maximization for Learning Determinantal Point Processes., , , and . NIPS, page 3149-3157. (2014)End-to-end learning of parsing models for information retrieval., , , and . ICASSP, page 3312-3316. IEEE, (2013)Sparsity in Dependency Grammar Induction., , , , and . ACL (2), page 194-199. The Association for Computer Linguistics, (2010)