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Information Projection and Approximate Inference for Structured Sparse Variables., , , and . CoRR, (2016)Boosting Variational Inference: an Optimization Perspective., , , and . CoRR, (2017)Structured learning for non-smooth ranking losses., , , and . KDD, page 88-96. ACM, (2008)On Approximation Guarantees for Greedy Low Rank Optimization., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1837-1846. PMLR, (2017)On Prior Distributions and Approximate Inference for Structured Variables., , , and . NIPS, page 676-684. (2014)Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method., , and . NeurIPS, (2020)Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract)., , and . IJCAI, page 4765-4769. ijcai.org, (2021)Geometric rates of convergence for kernel-based sampling algorithms., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 2156-2164. AUAI Press, (2021)Translating relevance scores to probabilities for contextual advertising., , , , and . CIKM, page 1899-1902. ACM, (2009)Estimating rates of rare events with multiple hierarchies through scalable log-linear models., , , and . KDD, page 213-222. ACM, (2010)