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Lalloué, Benoît; Monnez, Jean-Marie; Albuisson, Eliane Streaming constrained binary logistic regression with online standardized data. (English) Zbl 07522694 J. Appl. Stat. 49, No. 6, 1519-1539 (2022). MSC: 62-XX PDFBibTeX XMLCite \textit{B. Lalloué} et al., J. Appl. Stat. 49, No. 6, 1519--1539 (2022; Zbl 07522694) Full Text: DOI HAL
Rudin, Cynthia; Chen, Chaofan; Chen, Zhi; Huang, Haiyang; Semenova, Lesia; Zhong, Chudi Interpretable machine learning: fundamental principles and 10 grand challenges. (English) Zbl 07471610 Stat. Surv. 16, 1-85 (2022). MSC: 68T01 62-02 PDFBibTeX XMLCite \textit{C. Rudin} et al., Stat. Surv. 16, 1--85 (2022; Zbl 07471610) Full Text: DOI arXiv Link
Feng, Yu; Tu, Yuhai The inverse variance-flatness relation in stochastic gradient descent is critical for finding flat minima. (English) Zbl 1485.82008 Proc. Natl. Acad. Sci. USA 118, No. 9, Paper No. e2015617118, 10 p. (2021). MSC: 82C31 62-08 62P25 68T05 82M99 PDFBibTeX XMLCite \textit{Y. Feng} and \textit{Y. Tu}, Proc. Natl. Acad. Sci. USA 118, No. 9, Paper No. e2015617118, 10 p. (2021; Zbl 1485.82008) Full Text: DOI
Darbon, Jérôme; Langlois, Gabriel P. On Bayesian posterior mean estimators in imaging sciences and Hamilton-Jacobi partial differential equations. (English) Zbl 1525.94008 J. Math. Imaging Vis. 63, No. 7, 821-854 (2021). MSC: 94A08 94A12 49N45 62F15 35F21 35F25 68U10 PDFBibTeX XMLCite \textit{J. Darbon} and \textit{G. P. Langlois}, J. Math. Imaging Vis. 63, No. 7, 821--854 (2021; Zbl 1525.94008) Full Text: DOI arXiv
Choudhury, Sayantan; Dutta, Ankan; Ray, Debisree Chaos and complexity from quantum neural network. A study with diffusion metric in machine learning. (English) Zbl 1462.81100 J. High Energy Phys. 2021, No. 4, Paper No. 138, 33 p. (2021). MSC: 81Q50 62M45 62L20 68T05 PDFBibTeX XMLCite \textit{S. Choudhury} et al., J. High Energy Phys. 2021, No. 4, Paper No. 138, 33 p. (2021; Zbl 1462.81100) Full Text: DOI arXiv
Duranthon, O.; Marsili, M.; Xie, R. Maximal relevance and optimal learning machines. (English) Zbl 1504.82004 J. Stat. Mech. Theory Exp. 2021, No. 3, Article ID 033409, 30 p. (2021). MSC: 82B10 62B10 62F30 68T07 PDFBibTeX XMLCite \textit{O. Duranthon} et al., J. Stat. Mech. Theory Exp. 2021, No. 3, Article ID 033409, 30 p. (2021; Zbl 1504.82004) Full Text: DOI arXiv
Kovachki, Nikola B.; Stuart, Andrew M. Ensemble Kalman inversion: a derivative-free technique for machine learning tasks. (English) Zbl 1430.68266 Inverse Probl. 35, No. 9, Article ID 095005, 35 p. (2019). MSC: 68T05 60G35 62F15 68T07 PDFBibTeX XMLCite \textit{N. B. Kovachki} and \textit{A. M. Stuart}, Inverse Probl. 35, No. 9, Article ID 095005, 35 p. (2019; Zbl 1430.68266) Full Text: DOI arXiv Link
Bakhtin, Yuri Universal statistics of incubation periods and other detection times via diffusion models. (English) Zbl 1415.92166 Bull. Math. Biol. 81, No. 4, 1070-1088 (2019). MSC: 92D30 62P10 60J75 PDFBibTeX XMLCite \textit{Y. Bakhtin}, Bull. Math. Biol. 81, No. 4, 1070--1088 (2019; Zbl 1415.92166) Full Text: DOI arXiv
Balan, Radu; Singh, Maneesh; Zou, Dongmian Lipschitz properties for deep convolutional networks. (English) Zbl 1402.62224 Kim, Yeonhyang (ed.) et al., Frames and harmonic analysis. AMS special session on frames, wavelets and Gabor systems and special session on frames, harmonic analysis, and operator theory, North Dakota State University, Fargo, ND, USA, April 16–17, 2016. Proceedings. Providence, RI: American Mathematical Society (AMS) (ISBN 978-1-4704-3619-3/pbk; 978-1-4704-4723-6/ebook). Contemporary Mathematics 706, 129-151 (2018). MSC: 62M45 62H30 68T05 PDFBibTeX XMLCite \textit{R. Balan} et al., Contemp. Math. 706, 129--151 (2018; Zbl 1402.62224) Full Text: DOI arXiv
Chintala, Soumith; Ranzato, Marc’Aurelio; Szlam, Arthur; Tian, Yuandong; Tygert, Mark; Zaremba, Wojciech Scale-invariant learning and convolutional networks. (English) Zbl 1392.68340 Appl. Comput. Harmon. Anal. 42, No. 1, 154-166 (2017). MSC: 68T05 62H30 65T60 94A08 94A12 PDFBibTeX XMLCite \textit{S. Chintala} et al., Appl. Comput. Harmon. Anal. 42, No. 1, 154--166 (2017; Zbl 1392.68340) Full Text: DOI
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Tan, Linda S. L.; Nott, David J. A stochastic variational framework for fitting and diagnosing generalized linear mixed models. (English) Zbl 1327.62167 Bayesian Anal. 9, No. 4, 963-1004 (2014). MSC: 62F15 62J12 62J20 PDFBibTeX XMLCite \textit{L. S. L. Tan} and \textit{D. J. Nott}, Bayesian Anal. 9, No. 4, 963--1004 (2014; Zbl 1327.62167) Full Text: DOI arXiv Euclid
Gao, YunLong; Pan, JinYan; Ji, GuoLi; Gao, Feng A time-series modeling method based on the boosting gradient-descent theory. (English) Zbl 1236.62120 Sci. China, Technol. Sci. 54, No. 5, 1325-1337 (2011). MSC: 62M20 62M10 68T05 65C60 PDFBibTeX XMLCite \textit{Y. Gao} et al., Sci. China, Technol. Sci. 54, No. 5, 1325--1337 (2011; Zbl 1236.62120) Full Text: DOI
Bottou, Léon Large-scale machine learning with stochastic gradient descent. (English) Zbl 1436.68293 Lechevallier, Yves (ed.) et al., Proceedings of COMPSTAT’2010. 19th international conference on computational statistics, Paris, France, August 22–27, 2010. Keynote, invited and contributed papers. Heidelberg: Physica Verlag. 177-186 (2010). MSC: 68T05 62L20 PDFBibTeX XMLCite \textit{L. Bottou}, in: Proceedings of COMPSTAT'2010. 19th international conference on computational statistics, Paris, France, August 22--27, 2010. Keynote, invited and contributed papers. Heidelberg: Physica Verlag. 177--186 (2010; Zbl 1436.68293) Full Text: DOI
Hsu, Chun-Nan; Huang, Han-Shen; Chang, Yu-Ming; Lee, Yuh-Jye Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning. (English) Zbl 1470.68116 Mach. Learn. 77, No. 2-3, 195-224 (2009). MSC: 68T05 62M40 68W27 90C15 PDFBibTeX XMLCite \textit{C.-N. Hsu} et al., Mach. Learn. 77, No. 2--3, 195--224 (2009; Zbl 1470.68116) Full Text: DOI