Adachi, Masaki

10 publications

AISTATS 2025 Learning to Forget: Bayesian Time Series Forecasting Using Recurrent Sparse Spectrum Signature Gaussian Processes Csaba Tóth, Masaki Adachi, Michael A Osborne, Harald Oberhauser

NeurIPS 2025 Scalable Valuation of Human Feedback Through Provably Robust Model Alignment Masahiro Fujisawa, Masaki Adachi, Michael A Osborne

AISTATS 2025 Time-Varying Gaussian Process Bandits with Unknown Prior Juliusz Ziomek, Masaki Adachi, Michael A Osborne

AISTATS 2024 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

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

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

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

ICMLW 2023 SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A Osborne

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

NeurIPSW 2021 High-Dimensional Discrete Bayesian Optimization with Self-Supervised Representation Learning for Data-Efficient Materials Exploration Masaki Adachi