Ryabko, Daniil Universal time-series forecasting with mixture predictors. (English) Zbl 1479.62002 SpringerBriefs in Computer Science. Cham: Springer (ISBN 978-3-030-54303-7/pbk; 978-3-030-54304-4/ebook). viii, 85 p. (2020). Reviewer: B. L. S. Prakasa Rao (Hyderabad) MSC: 62-01 62M10 62M20 62M05 62L12 PDFBibTeX XMLCite \textit{D. Ryabko}, Universal time-series forecasting with mixture predictors. Cham: Springer (2020; Zbl 1479.62002) Full Text: DOI arXiv
Ryabko, Daniil Time-series information and unsupervised learning of representations. (English) Zbl 1446.62250 IEEE Trans. Inf. Theory 66, No. 3, 1702-1713 (2020). MSC: 62M10 60G10 62H30 94A17 PDFBibTeX XMLCite \textit{D. Ryabko}, IEEE Trans. Inf. Theory 66, No. 3, 1702--1713 (2020; Zbl 1446.62250) Full Text: DOI arXiv
Ryabko, Daniil Asymptotic nonparametric statistical analysis of stationary time series. (English) Zbl 1503.62005 SpringerBriefs in Computer Science. Cham: Springer (ISBN 978-3-030-12563-9/pbk; 978-3-030-12564-6/ebook). viii, 77 p. (2019). MSC: 62-02 62M10 62G20 62G05 62G10 60G10 PDFBibTeX XMLCite \textit{D. Ryabko}, Asymptotic nonparametric statistical analysis of stationary time series. Cham: Springer (2019; Zbl 1503.62005) Full Text: DOI arXiv
Ryabko, Daniil On asymptotic and finite-time optimality of Bayesian predictors. (English) Zbl 1446.62249 J. Mach. Learn. Res. 20, Paper No. 149, 24 p. (2019). MSC: 62M10 62M20 62L12 62C20 PDFBibTeX XMLCite \textit{D. Ryabko}, J. Mach. Learn. Res. 20, Paper No. 149, 24 p. (2019; Zbl 1446.62249) Full Text: Link
Ryabko, Daniil Hypotheses testing on infinite random graphs. (English) Zbl 1407.62204 Hanneke, Steve (ed.) et al., International conference on algorithmic learning theory. Proceedings of the 28th conference (ALT 2017), Kyoto University, Kyoto, Japan, October 15–17, 2017. [s.l.]: Proceedings of Machine Learning Research PMLR. Proc. Mach. Learn. Res. (PMLR) 76, 400-411 (2017). MSC: 62H15 05C80 PDFBibTeX XMLCite \textit{D. Ryabko}, Proc. Mach. Learn. Res. (PMLR) 76, 400--411 (2017; Zbl 1407.62204) Full Text: arXiv Link
Ryabko, Daniil Universality of Bayesian mixture predictors. (English) Zbl 1407.62044 Hanneke, Steve (ed.) et al., International conference on algorithmic learning theory. Proceedings of the 28th conference (ALT 2017), Kyoto University, Kyoto, Japan, October 15–17, 2017. [s.l.]: Proceedings of Machine Learning Research PMLR. Proc. Mach. Learn. Res. (PMLR) 76, 57-71 (2017). MSC: 62C10 60G25 62C20 62L10 PDFBibTeX XMLCite \textit{D. Ryabko}, Proc. Mach. Learn. Res. (PMLR) 76, 57--71 (2017; Zbl 1407.62044) Full Text: arXiv Link
Ryabko, Daniil Things Bayes can’t do. (English) Zbl 1480.62011 Ortner, Ronald (ed.) et al., Algorithmic learning theory. 27th international conference, ALT 2016, Bari, Italy, October 19–21, 2016, Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 9925, 253-260 (2016). MSC: 62A01 PDFBibTeX XMLCite \textit{D. Ryabko}, Lect. Notes Comput. Sci. 9925, 253--260 (2016; Zbl 1480.62011) Full Text: DOI arXiv
Ryabko, Daniil Uniform hypothesis testing for finite-valued stationary processes. (English) Zbl 1367.62146 Statistics 48, No. 1, 121-128 (2014). MSC: 62G10 60G10 PDFBibTeX XMLCite \textit{D. Ryabko}, Statistics 48, No. 1, 121--128 (2014; Zbl 1367.62146) Full Text: DOI
Ryabko, Daniil Unsupervised model-free representation learning. (English) Zbl 1406.68101 Jain, Sanjay (ed.) et al., Algorithmic learning theory. 24th international conference, ALT 2013, Singapore, October 6–9, 2013. Proceedings. Berlin: Springer (ISBN 978-3-642-40934-9/pbk). Lecture Notes in Computer Science 8139. Lecture Notes in Artificial Intelligence, 354-366 (2013). MSC: 68T05 62M10 PDFBibTeX XMLCite \textit{D. Ryabko}, Lect. Notes Comput. Sci. 8139, 354--366 (2013; Zbl 1406.68101) Full Text: DOI arXiv
Ryabko, Daniil Testing composite hypotheses about discrete ergodic processes. (English) Zbl 1259.62072 Test 21, No. 2, 317-329 (2012). MSC: 62M07 62G10 62G20 PDFBibTeX XMLCite \textit{D. Ryabko}, Test 21, No. 2, 317--329 (2012; Zbl 1259.62072) Full Text: DOI
Ryabko, Daniil On the relation between realizable and nonrealizable cases of the sequence prediction problem. (English) Zbl 1280.60027 J. Mach. Learn. Res. 12, 2161-2180 (2011). MSC: 60G25 60B10 62M10 PDFBibTeX XMLCite \textit{D. Ryabko}, J. Mach. Learn. Res. 12, 2161--2180 (2011; Zbl 1280.60027) Full Text: Link
Ryabko, Daniil Uniform hypothesis testing for ergodic time series distributions. arXiv:1107.4165 Preprint, arXiv:1107.4165 [math.ST] (2011). BibTeX Cite \textit{D. Ryabko}, ``Uniform hypothesis testing for ergodic time series distributions'', Preprint, arXiv:1107.4165 [math.ST] (2011) Full Text: arXiv OA License
Ryabko, Daniil On finding predictors for arbitrary families of processes. (English) Zbl 1242.62108 J. Mach. Learn. Res. 11, 581-602 (2010). MSC: 62M20 62F15 62M10 PDFBibTeX XMLCite \textit{D. Ryabko}, J. Mach. Learn. Res. 11, 581--602 (2010; Zbl 1242.62108) Full Text: Link
Ryabko, Daniil Discrimination between B-processes is impossible. (English) Zbl 1190.62095 J. Theor. Probab. 23, No. 2, 565-575 (2010). MSC: 62G10 62M99 60G10 62M07 62M10 PDFBibTeX XMLCite \textit{D. Ryabko}, J. Theor. Probab. 23, No. 2, 565--575 (2010; Zbl 1190.62095) Full Text: DOI
Ryabko, Daniil Some sufficient conditions on an arbitrary class of stochastic processes for the existence of a predictor. (English) Zbl 1156.60312 Freund, Yoav (ed.) et al., Algorithmic learning theory. 19th international conference, ALT 2008, Budapest, Hungary, October 13–16, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-87986-2/pbk). Lecture Notes in Computer Science 5254. Lecture Notes in Artificial Intelligence, 169-182 (2008). MSC: 60G25 PDFBibTeX XMLCite \textit{D. Ryabko}, Lect. Notes Comput. Sci. 5254, 169--182 (2008; Zbl 1156.60312) Full Text: DOI Link
Ryabko, Daniil Sample complexity for computational classification problems. (English) Zbl 1131.68091 Algorithmica 49, No. 1, 69-77 (2007). MSC: 68T10 68P30 68Q32 PDFBibTeX XMLCite \textit{D. Ryabko}, Algorithmica 49, No. 1, 69--77 (2007; Zbl 1131.68091) Full Text: DOI Link
Ryabko, Daniil Pattern recognition for conditionally independent data. (English) Zbl 1222.68355 J. Mach. Learn. Res. 7, 645-664 (2006). MSC: 68T10 68T05 PDFBibTeX XMLCite \textit{D. Ryabko}, J. Mach. Learn. Res. 7, 645--664 (2006; Zbl 1222.68355) Full Text: Link
Ryabko, Daniil On computability of pattern recognition problems. (English) Zbl 1168.68534 Jain, Sanjay (ed.) et al., Algorithmic learning theory. 16th international conference, ALT 2005, Singapore, October 8–11, 2005. Proceedings. Berlin: Springer (ISBN 3-540-29242-X/pbk). Lecture Notes in Computer Science 3734. Lecture Notes in Artificial Intelligence, 148-156 (2005). MSC: 68T10 68T05 PDFBibTeX XMLCite \textit{D. Ryabko}, Lect. Notes Comput. Sci. 3734, 148--156 (2005; Zbl 1168.68534) Full Text: DOI
Ryabko, Daniil Application of classical nonparametric predictors to learning conditionally i.i.d. data. (English) Zbl 1110.68465 Ben-David, Shai (ed.) et al., Algorithmic learning theory. 15th international conference, ALT 2004, Padova, Italy, October 2–5, 2004. Proceedings. Berlin: Springer (ISBN 3-540-23356-3/pbk). Lecture Notes in Computer Science 3244. Lecture Notes in Artificial Intelligence, 171-180 (2004). MSC: 68T05 68T10 PDFBibTeX XMLCite \textit{D. Ryabko}, Lect. Notes Comput. Sci. 3244, 171--180 (2004; Zbl 1110.68465) Full Text: DOI