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Regression via Kirszbraun Extension with Applications to Imitation Learning.

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On the Learnability of Shuffle Ideals., , и . ALT, том 7568 из Lecture Notes in Computer Science, стр. 111-123. Springer, (2012)A Sharp Lower Bound for Agnostic Learning with Sample Compression Schemes., и . ALT, том 98 из Proceedings of Machine Learning Research, стр. 489-505. PMLR, (2019)A Bayes consistent 1-NN classifier., и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Regression via Kirszbraun Extension with Applications to Imitation Learning., , , и . CoRR, (2019)On the Additive Properties of the Fat-Shattering Dimension., , и . IEEE Trans. Neural Networks Learn. Syst., 25 (12): 2309-2312 (2014)Minimax Testing of Identity to a Reference Ergodic Markov Chain., и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 191-201. PMLR, (2020)Efficient Classification for Metric Data., , и . IEEE Trans. Inf. Theory, 60 (9): 5750-5759 (2014)On the learnability of shuffle ideals., , , и . J. Mach. Learn. Res., 14 (1): 1513-1531 (2013)Active Nearest-Neighbor Learning in Metric Spaces., , и . J. Mach. Learn. Res., (2017)Nested Barycentric Coordinate System as an Explicit Feature Map., , , , и . CoRR, (2020)