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 - 20 out of 49Page size: 20

Research Output

  1. 2025
  2. Published

    PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks

    Wang, S., Li, B., Chen, Y. & Perdikaris, P., 2025, In: Journal of Machine Learning Research. 25, 402.

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

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  3. 2024
  4. Online published

    A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators

    Chada, N. K., Lang, Q., Lu, F. & Wang, X., Oct 2024, (Online published) In: Journal of Machine Learning Research. 25, 37 p., 317.

    Research output: Journal Publications and Reviews › Comment/debate › peer-review

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  5. 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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  6. Published

    Classification with Deep Neural Networks and Logistic Loss

    Zhang, Z., Shi, L. & Zhou, D.-X., 2024, In: Journal of Machine Learning Research. 25, 125.

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

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  7. Published

    More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization

    Liu, X., Lian, H. & Huang, J., 2024, In: Journal of Machine Learning Research. 25, 27 p., 161.

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

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  8. Published

    Nonparametric Regression Using Over-parameterized Shallow ReLU Neural Networks

    Yang, Y. & Zhou, D.-X., 2024, In: Journal of Machine Learning Research. 25, 165.

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

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  9. Published

    On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training

    Liu, C., Huang, Z., Salzmann, M., Zhang, T. & Süsstrunk, S., 2024, In: Journal of Machine Learning Research. 25, 356.

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

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  10. 2023

  11. Quasi-Equivalence between Width and Depth of Neural Networks

    Fan, F.-L., Lai, R. & Wang, G., Jan 2023, In: Journal of Machine Learning Research. 24, 1, p. 8742-8763 183.

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

    Scopus citations: 1
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  12. Published

    Distributed Algorithms for U-statistics-based Empirical Risk Minimization

    Chen, L., Wan, A. T. K., Zhang, S. & Zhou, Y., 2023, In: Journal of Machine Learning Research. 24, 263.

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

    Scopus citations: 6
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  13. 2022
  14. Published

    Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions

    Lv, S. & Lian, H., 2022, In: Journal of Machine Learning Research. 23, 2.

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

    Scopus citations: 13
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  15. Published

    Decimated Framelet System on Graphs and Fast G-Framelet Transforms

    Zheng, X., Zhou, B., Wang, Y. G. & Zhuang, X., 2022, In: Journal of Machine Learning Research. 23, 18.

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

    Scopus citations: 20
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  16. Published

    Learning linear non-Gaussian directed acyclic graph with diverging number of nodes

    Zhao, R., He, X. & Wang, J., 2022, In: Journal of Machine Learning Research. 23, 269.

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

    Scopus citations: 4
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  17. Published

    Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification

    Zhang, Y., Zhao, Y.-Y. & Lian, H., 2022, In: Journal of Machine Learning Research. 23, p. 1-24

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

    Scopus citations: 4
    Check@CityULib
  18. 2021
  19. Published

    Partial policy iteration for L1-Robust Markov decision processes

    Ho, C. P., Petrik, M. & Wiesemann, W., Oct 2021, In: Journal of Machine Learning Research. 22, 275.

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

    Scopus citations: 32
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  20. Published

    On ADMM in deep learning: Convergence and saturation-avoidance

    Zeng, J., Lin, S.-B., Yao, Y. & Zhou, D.-X., 2021, In: Journal of Machine Learning Research. 22, 199.

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

    Scopus citations: 12
    Check@CityULib
  21. 2020
  22. Published

    Ultra-High Dimensional Single-Index Quantile Regression

    Zhang, Y., Lian, H. & Yu, Y., Nov 2020, In: Journal of Machine Learning Research. 21, 224.

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

    Scopus citations: 15
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  23. Published

    High-dimensional Quantile Tensor Regression

    Lu, W., Zhu, Z. & Lian, H., Oct 2020, In: Journal of Machine Learning Research. 21, 250.

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

    Scopus citations: 17
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  24. 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: 16
    Check@CityULib
  25. Published

    Distributed Kernel Ridge Regression with Communications

    Lin, S.-B., Wang, D. & Zhou, D.-X., 2020, In: Journal of Machine Learning Research. 21, 38 p., 93.

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

    Scopus citations: 31
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  26. 2019

  27. 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: 67
    Check@CityULib
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