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Learning Rules-First Classifiers.

, , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1398-1406. PMLR, (2019)

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Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks, , , , and . Journal of Machine Learning Research, (2008)Convergent Propagation Algorithms via Oriented Trees, and . CoRR, (2012)What Cannot be Learned with Bethe Approximations, and . CoRR, (2012)Learning Rules-First Classifiers., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1398-1406. PMLR, (2019)The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification., , , and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 205-213. JMLR.org, (2013)Learning Infinite Layer Networks Without the Kernel Trick., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2198-2207. PMLR, (2017)Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks, , , , and . (2008)Explaining in Style: Training a GAN to explain a classifier in StyleSpace., , , , , , , , , and 1 other author(s). ICCV, page 673-682. IEEE, (2021)Nightmare at test time: robust learning by feature deletion., and . ICML, volume 148 of ACM International Conference Proceeding Series, page 353-360. ACM, (2006)How Hard is Inference for Structured Prediction?, , , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2181-2190. JMLR.org, (2015)