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Information-theoretic lower bounds on learning the structure of Bayesian networks., and . CoRR, (2016)Fast training on large genomics data using distributed Support Vector Machines., , , , , and . COMSNETS, page 1-8. IEEE, (2016)Covering space with simple robots: From chains to random trees., and . ICRA, page 914-920. IEEE, (2013)Learning Sparse Potential Games in Polynomial Time and Sample Complexity., and . CoRR, (2017)CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval., , , , , , , and . CoRR, (2022)CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval., , , , , , , and . ACL (1), page 11891-11907. Association for Computational Linguistics, (2023)Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1749-1757. PMLR, (2018)Minimax bounds for structured prediction., , and . CoRR, (2019)FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation., , , , , and . EMNLP (1), page 3712-3727. Association for Computational Linguistics, (2021)Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity., and . NIPS, page 6457-6466. (2017)