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Learning Theory and Algorithms for Forecasting Non-stationary Time Series.

, и . NIPS, стр. 541-549. (2015)

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Vitaly Raev

Ivan Kuznetsov

Vitaly Alexandrov

Vitaly Teterin

Valeri Kuznetsov

 

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Generalization bounds for non-stationary mixing processes., и . Mach. Learn., 106 (1): 93-117 (2017)Learning Ensembles of Structured Prediction Rules., , и . ACL (1), стр. 1-12. The Association for Computer Linguistics, (2014)AdaNet: Adaptive Structural Learning of Artificial Neural Networks, , , , и . (2016)Multi-Class Deep Boosting., , и . NIPS, стр. 2501-2509. (2014)AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles., , , , , , , , , и 2 other автор(ы). CoRR, (2019)Online Non-Additive Path Learning under Full and Partial Information., , , , и . ALT, том 98 из Proceedings of Machine Learning Research, стр. 274-299. PMLR, (2019)Generalization Bounds for Time Series Prediction with Non-stationary Processes., и . ALT, том 8776 из Lecture Notes in Computer Science, стр. 260-274. Springer, (2014)Learning N-Gram Language Models from Uncertain Data., , , , и . INTERSPEECH, стр. 2323-2327. ISCA, (2016)Time series prediction and online learning., и . COLT, том 49 из JMLR Workshop and Conference Proceedings, стр. 1190-1213. JMLR.org, (2016)Kernel Extraction via Voted Risk Minimization., , , и . FE@NIPS, том 44 из JMLR Workshop and Conference Proceedings, стр. 72-89. JMLR.org, (2015)