Journal of Machine Learning Research

Journal of Machine Learning Research

ISSNs: 1532-4435, 1533-7928

Additional searchable ISSN (electronic): 1533-7928

MICROTOME PUBL, United States

Scopus rating (2023): CiteScore 18.8 SJR 2.796 SNIP 4.031

Journal

Journal Metrics
1 - 12 out of 12Page size: 20

Research Output

  1. 2024

  2. Regimes of No Gain in Multi-class Active Learning

    Yuan, G., Zhao, Y. & Kpotufe, S., Mar 2024, In: Journal of Machine Learning Research. 24, 129, p. 1-31 31 p.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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  3. 2020

  4. Optimal Bipartite Network Clustering

    Zhou, Z. & Amini, A., Jan 2020, In: Journal of Machine Learning Research. 21, 40.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 15
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  5. 2019

  6. Analysis of spectral clustering algorithms for community detection: the general bipartite setting

    Zhou, Z. & Amini, A. A., 2019, In: Journal of Machine Learning Research. 20, 47.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 62
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  7. 2018

  8. Online bootstrap confidence intervals for the stochastic gradient descent estimator

    Fang, Y., Xu, J. & Yang, L., 1 Dec 2018, In: Journal of Machine Learning Research. 19

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 30
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  9. 2013

  10. Consistent selection of tuning parameters via variable selection stability

    Sun, W., Wang, J. & Fang, Y., Nov 2013, In: Journal of Machine Learning Research. 14, p. 3419-3440

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 55
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  11. Stationary-sparse causality network learning

    He, Y., She, Y. & Wu, D., Oct 2013, In: Journal of Machine Learning Research. 14, p. 3073-3104

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 15
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  12. 2009

  13. On efficient large margin semisupervised learning: Method and theory

    Wang, J., Shen, X. & Pan, W., Jan 2009, In: Journal of Machine Learning Research. 10, p. 719-742

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 40
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  14. 2007

  15. Large margin semi-supervised learning

    Wang, J. & Shen, X., Aug 2007, In: Journal of Machine Learning Research. 8, p. 1867-1891

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 48
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  16. Efficient large margin semisupervised learning

    Wang, J., 2007, In: Journal of Machine Learning Research. 2, p. 588-595

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 1
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  17. 2006

  18. Stability properties of empirical risk minimization over Donsker classes

    Caponnetto, A. & Rakhlin, A., Dec 2006, In: Journal of Machine Learning Research. 7, p. 2565-2583

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 14
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  19. 2005

  20. Learning from examples as an inverse problem

    De Vito, E., Rosasco, L., Caponnetto, A., De Giovannini, U. & Odone, F., 2005, In: Journal of Machine Learning Research. 6

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 154
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  21. 2004

  22. Some properties of regularized kernel methods

    De Vito, E., Rosasco, L., Caponnetto, A., Piana, M. & Verri, A., 1 Oct 2004, In: Journal of Machine Learning Research. 5, p. 1363-1390

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Scopus citations: 74
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