Special Issue of the ACML 2019 Journal Track

ISSN: 0885-6125 (Print) 1573-0565 (Online)

In this topical collection (10 articles)

  1. EditorialNotes

    Foreword: special issue for the journal track of the 11th Asian Conference on Machine Learning (ACML 2019)

    Kee-Eung Kim, Jun Zhu Pages 441-443
    Download PDF (267KB) View Article

  2. OriginalPaper

    Joint consensus and diversity for multi-view semi-supervised classification

    Wenzhang Zhuge, Chenping Hou, Shaoliang Peng, Dongyun Yi Pages 445-465
    Download PDF (579KB) View Article

  3. OriginalPaper

    Gradient descent optimizes over-parameterized deep ReLU networks

    Difan Zou, Yuan Cao, Dongruo Zhou, Quanquan Gu Pages 467-492
    Download PDF (726KB) View Article

  4. OriginalPaper

    Skill-based curiosity for intrinsically motivated reinforcement learning

    Nicolas Bougie, Ryutaro Ichise Pages 493-512
    Download PDF (949KB) View Article

  5. OriginalPaper

    Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric

    Yongchan Kwon, Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik Pages 513-532
    Download PDF (2707KB) View Article

  6. OriginalPaper

    Handling concept drift via model reuse

    Peng Zhao, Le-Wen Cai, Zhi-Hua Zhou Pages 533-568
    Download PDF (826KB) View Article

  7. OriginalPaper

    Communication-efficient distributed multi-task learning with matrix sparsity regularization

    Qiang Zhou, Yu Chen, Sinno Jialin Pan Pages 569-601
    Download PDF (1439KB) View Article

  8. OriginalPaper

    Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion

    Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao Pages 603-622
    Download PDF (1634KB) View Article

  9. OriginalPaper

    Multi-label optimal margin distribution machine

    Zhi-Hao Tan, Peng Tan, Yuan Jiang, Zhi-Hua Zhou Pages 623-642
    Download PDF (1116KB) View Article

  10. OriginalPaper

    Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach

    Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan Pages 643-664
    Download PDF (1682KB) View Article