International Conferences

  • "Closed-Form Coordinate Ascent Variational Inference for Student-t Process Regression with Student-t Likelihood"

    Keisuke ONOUE, Takatomi KUBO, Kazushi IKEDA (2026).
    The 29th International Conference on Artificial Intelligence and Statistics.

Domestic Conferences

  • "A Discrete Black-Box Optimization Method Considering Constraints Using Tensor Decomposition"

    Keisuke ONOUE, Ryosuke KOJIMA (2025).
    Proceedings of the Annual Conference of JSAI. Vol. JSAI2025, pp. 3L4GS105-3L4GS105.
    DOI: 10.11517/pjsai.JSAI2025.0_3L4GS105

  • "A framework to construct predictive models with logical constraints for table data"

    Keisuke ONOUE, Ryosuke KOJIMA (2024).
    Proceedings of the Annual Conference of JSAI. Vol. JSAI2024, pp. 2M1OS11a02-2M1OS11a02.
    DOI: 10.11517/pjsai.JSAI2024.0_2M1OS11a02

Workshop / Academic Presentations

  • "Almost Natural Gradient for Variational Student-t Process Models with Gaussian-Gamma Data Augmentation"

    Keisuke ONOUE, Kotaro J. NISHIMURA, Takatomi KUBO, Kazushi IKEDA (2025).
    Poster presentation at IBIS 2025 (Information-Based Induction Sciences Workshop). (Non-archival poster presentation)

Preprints / Under Review

  • "IEEE EMBC 2026 Conference Submission"

    Unknown Author (N/A).
    Preprint.