Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. - Masaki Adachi; Satoshi Hayakawa; Martin Jørgensen; Harald Oberhauser; Michael A. Osborne (NeurIPS, 2022)

Longitudinal association between addictive internet use and depression in early adolescents over a 2-year period: A study using a random intercept cross-lagged model. - Michio Takahashi; Masaki Adachi; Tomoya Hirota; Tomoko Nishimura; Hiroki Shinkawa; Hiroyuki Mori; Kazuhiko Nakamura (Comput. Hum. Behav., 2022)

Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature. - Masaki Adachi; Yannick Kuhn; Birger Horstmann; Michael A. Osborne; David A. Howey (CoRR, 2022)

SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints. - Masaki Adachi; Satoshi Hayakawa; Saad Hamid; Martin Jørgensen; Harald Oberhauser; Michael A. Osborne (CoRR, 2023)

Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. - Joachim Schaeffer; Paul Gasper; Esteban García Tamayo; Raymond Gasper; Masaki Adachi; Juan Pablo Gaviria-Cardona; Simon Montoya-Bedoya; Anoushka Bhutani; Andrew Schiek; Rhys Goodall; Rolf Findeisen; Richard D. Braatz; et al. (CoRR, 2023)

Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature. - Masaki Adachi; Satoshi Hayakawa; Xingchen Wan; Martin Jørgensen; Harald Oberhauser; Michael A. Osborne (CoRR, 2023)

Looping in the Human: Collaborative and Explainable Bayesian Optimization. - Masaki Adachi; Brady Planden; David A. Howey; Krikamol Muandet; Michael A. Osborne; Siu Lun Chau (CoRR, 2023)

Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. - Masaki Adachi; Satoshi Hayakawa; Martin Jørgensen; Xingchen Wan; Vu Nguyen; Harald Oberhauser; Michael A. Osborne (AISTATS, 2024)

Looping in the Human: Collaborative and Explainable Bayesian Optimization. - Masaki Adachi; Brady Planden; David A. Howey; Michael A. Osborne; Sebastian Orbell; Natalia Ares; Krikamol Muandet; Siu Lun Chau (AISTATS, 2024)

Principled Bayesian Optimization in Collaboration with Human Experts. - Wenjie Xu; Masaki Adachi; Colin N. Jones; Michael A. Osborne (NeurIPS, 2024)

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal. - Juliusz Ziomek; Masaki Adachi; Michael A. Osborne (NeurIPS, 2024)

Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type. - Juliusz Ziomek; Masaki Adachi; Michael A. Osborne (CoRR, 2024)

A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting. - Masaki Adachi; Satoshi Hayakawa; Martin Jørgensen; Saad Hamid; Harald Oberhauser; Michael A. Osborne (CoRR, 2024)

Principled Bayesian Optimisation in Collaboration with Human Experts. - Wenjie Xu; Masaki Adachi; Colin N. Jones; Michael A. Osborne (CoRR, 2024)

Demonstrating Linked Battery Data To Accelerate Knowledge Flow in Battery Science. - Philipp Dechent; Elias Barbers; Simon Clark; Susanne Lehner; Brady Planden; Masaki Adachi; David A. Howey; Sabine Paarmann (CoRR, 2024)

Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes. - Csaba Tóth; Masaki Adachi; Michael A. Osborne; Harald Oberhauser (AISTATS, 2025)

Time-varying Gaussian Process Bandits with Unknown Prior. - Juliusz Ziomek; Masaki Adachi; Michael A. Osborne (AISTATS, 2025)

Bayesian Optimization for Building Social-Influence-Free Consensus. - Masaki Adachi; Siu Lun Chau; Wenjie Xu; Anurag Singh 006; Michael A. Osborne; Krikamol Muandet (CoRR, 2025)

Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature. - Masaki Adachi; Masahiro Fujisawa; Michael A. Osborne (CoRR, 2025)

Scalable Valuation of Human Feedback through Provably Robust Model Alignment. - Masahiro Fujisawa; Masaki Adachi; Michael A. Osborne (CoRR, 2025)

Natural Evolutionary Search meets Probabilistic Numerics. - Pierre Osselin; Masaki Adachi; Xiaowen Dong 001; Michael A. Osborne (CoRR, 2025)