International Conferences

  • Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition

    Keisuke Onoue, Ryosuke Kojima (2026).
    Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD).

  • Robust Bayesian Optimization for Reliable Functional Electrical Stimulation Calibration

    Keisuke Onoue, Satoshi Endo, Kazushi Ikeda, Sandra Hirche (2026).
    The 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
    https://mediatum.ub.tum.de/doc/1851207/document.pdf

  • 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. (AISTATS)
    https://openreview.net/forum?id=PN83VEfbQI

Domestic Conferences

  • Determining Re-examination Criteria in Biochemical Testing Using Mathematical Optimization

    Keisuke Onoue, Ryosuke Kojima, Tomokazu Kitamura, Nozomi Yamasaki, Atsuko Nishihara (2026).
    Preprint. Vol. JSAI2026,

  • 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)