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Atsutoshi Kumagai

15 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

AISTATS ×3ICLR ×3ICML ×2NeurIPS ×2AAAI ×1ECML-PKDD ×1EDBT ×1SIGKDD ×1SIGMOD ×1

Frequent coauthors

Yasuhiro Fujiwara
×9
Tomoharu Iwata
×9
Yasutoshi Ida
×6
Hiroshi Takahashi
×4
Masahiro Nakano
×3
Makoto Nakatsuji
×3
Akisato Kimura
×3
Taishi Nishiyama
×3
Ángel López García-Arias
×2
Akira Ito
×2
Masanori Yamada
×2
Sekitoshi Kanai
×2

Papers

  1. Accelerating Graph Construction for MIPS without Search Accuracy Loss
    EDBT 2026 ·
    Yasuhiro Fujiwara
    ,
    Ángel López García-Arias
    ,
    Yu Mitsuzumi
    ,
    Yasutoshi Ida
    , Atsutoshi Kumagai,
    Masahiro Nakano
    ,
    Makoto Nakatsuji
    ,
    Akisato Kimura
  2. Fast Vector Quantization Algorithm for ScaNN
    SIGKDD 2026 ·
    Yasuhiro Fujiwara
    ,
    Ángel López García-Arias
    ,
    Yasutoshi Ida
    , Atsutoshi Kumagai,
    Masahiro Nakano
    ,
    Makoto Nakatsuji
    ,
    Akisato Kimura
  3. Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
    ICLR 2025 ·
    Akira Ito
    ,
    Masanori Yamada
    , Atsutoshi Kumagai
  4. Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization
    ECML-PKDD 2025 ·
    Yasutoshi Ida
    ,
    Sekitoshi Kanai
    , Atsutoshi Kumagai,
    Tomoharu Iwata
    ,
    Yasuhiro Fujiwara
  5. Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
    AISTATS 2025 · Atsutoshi Kumagai,
    Tomoharu Iwata
    ,
    Hiroshi Takahashi
    ,
    Taishi Nishiyama
    ,
    Yasuhiro Fujiwara
  6. Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries
    ICML 2025 ·
    Akira Ito
    ,
    Masanori Yamada
    , Atsutoshi Kumagai
  7. Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
    AISTATS 2025 ·
    Tomoharu Iwata
    , Atsutoshi Kumagai,
    Yasutoshi Ida
  8. Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion
    AISTATS 2025 ·
    Tomoharu Iwata
    , Atsutoshi Kumagai
  9. Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation
    ICLR 2025 ·
    Hiroshi Takahashi
    ,
    Tomoharu Iwata
    , Atsutoshi Kumagai,
    Yuuki Yamanaka
    ,
    Tomoya Yamashita
  10. Positive-unlabeled AUC Maximization under Covariate Shift
    ICML 2025 · Atsutoshi Kumagai,
    Tomoharu Iwata
    ,
    Hiroshi Takahashi
    ,
    Taishi Nishiyama
    ,
    Kazuki Adachi
    ,
    Yasuhiro Fujiwara
  11. Test-time Adaptation for Regression by Subspace Alignment
    ICLR 2025 ·
    Kazuki Adachi
    ,
    Shin'ya Yamaguchi
    , Atsutoshi Kumagai,
    Tomoki Hamagami
  12. AUC Maximization under Positive Distribution Shift
    NeurIPS 2024 · Atsutoshi Kumagai,
    Tomoharu Iwata
    ,
    Hiroshi Takahashi
    ,
    Taishi Nishiyama
    ,
    Yasuhiro Fujiwara
  13. Efficient Algorithm for K-Multiple-Means
    SIGMOD 2024 ·
    Yasuhiro Fujiwara
    , Atsutoshi Kumagai,
    Yasutoshi Ida
    ,
    Masahiro Nakano
    ,
    Makoto Nakatsuji
    ,
    Akisato Kimura
  14. Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
    NeurIPS 2024 ·
    Yasutoshi Ida
    ,
    Sekitoshi Kanai
    , Atsutoshi Kumagai,
    Tomoharu Iwata
    ,
    Yasuhiro Fujiwara
  15. Zero-Shot Task Adaptation with Relevant Feature Information
    AAAI 2024 · Atsutoshi Kumagai,
    Tomoharu Iwata
    ,
    Yasuhiro Fujiwara