Masaki Adachi - RankMe

27 papers A* 3A 4Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Verbalizing LLM's Higher-order Uncertainty via Imprecise Probabilities. CoRR Anita Yang, Krikamol Muandet, Michele Caprio, Siu Lun Chau, Masaki Adachi
2025	J	`jnl`	Bayesian Optimization for Building Social-Influence-Free Consensus. CoRR Masaki Adachi, Siu Lun Chau, Wenjie Xu, Anurag Singh, Michael A. Osborne, Krikamol Muandet
2025	—	`conf`	Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature. ProbNum Masaki Adachi, Masahiro Fujisawa, Michael A. Osborne
2025	J	`jnl`	Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature. CoRR Masaki Adachi, Masahiro Fujisawa, Michael A. Osborne
2025	A	`conf`	Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes. AISTATS Csaba Tóth, Masaki Adachi, Michael A. Osborne, Harald Oberhauser
2025	—	`conf`	Natural Evolutionary Search meets Probabilistic Numerics. ProbNum Pierre Osselin, Masaki Adachi, Xiaowen Dong, Michael A. Osborne
2025	J	`jnl`	Natural Evolutionary Search meets Probabilistic Numerics. CoRR Pierre Osselin, Masaki Adachi, Xiaowen Dong, Michael A. Osborne
2025	J	`jnl`	Scalable Valuation of Human Feedback through Provably Robust Model Alignment. CoRR Masahiro Fujisawa, Masaki Adachi, Michael A. Osborne
2025	A	`conf`	Time-varying Gaussian Process Bandits with Unknown Prior. AISTATS Juliusz Ziomek, Masaki Adachi, Michael A. Osborne
2024	J	`jnl`	A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting. CoRR Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Saad Hamid, Harald Oberhauser, Michael A. Osborne
2024	A	`conf`	Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. AISTATS Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne
2024	A*	`conf`	Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal. NeurIPS Juliusz Ziomek, Masaki Adachi, Michael A. Osborne
2024	J	`jnl`	Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal. CoRR Juliusz Ziomek, Masaki Adachi, Michael A. Osborne
2024	J	`jnl`	Beyond Lengthscales: No-regret Bayesian Optimisation With Unknown Hyperparameters Of Any Type. CoRR Juliusz Ziomek, Masaki Adachi, Michael A. Osborne
2024	J	`jnl`	Demonstrating Linked Battery Data To Accelerate Knowledge Flow in Battery Science. CoRR Philipp Dechent, Elias Barbers, Simon Clark, Susanne Lehner, Brady Planden, Masaki Adachi, David A. Howey, Sabine Paarmann
2024	J	`jnl`	Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes. CoRR Csaba Tóth, Masaki Adachi, Michael A. Osborne, Harald Oberhauser
2024	A	`conf`	Looping in the Human: Collaborative and Explainable Bayesian Optimization. AISTATS Masaki Adachi, Brady Planden, David A. Howey, Michael A. Osborne, Sebastian Orbell, Natalia Ares, Krikamol Muandet, Siu Lun Chau
2024	J	`jnl`	Principled Bayesian Optimisation in Collaboration with Human Experts. CoRR Wenjie Xu, Masaki Adachi, Colin N. Jones, Michael A. Osborne
2024	A*	`conf`	Principled Bayesian Optimization in Collaboration with Human Experts. NeurIPS Wenjie Xu, Masaki Adachi, Colin N. Jones, Michael A. Osborne
2023	J	`jnl`	Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature. CoRR Masaki Adachi, Satoshi Hayakawa, Xingchen Wan, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2023	J	`jnl`	Looping in the Human: Collaborative and Explainable Bayesian Optimization. CoRR Masaki Adachi, Brady Planden, David A. Howey, Krikamol Muandet, Michael A. Osborne, Siu Lun Chau
2023	J	`jnl`	Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. CoRR 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, Simon Engelke
2023	J	`jnl`	SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints. CoRR Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2022	J	`jnl`	Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature. CoRR Masaki Adachi, Yannick Kuhn, Birger Horstmann, Michael A. Osborne, David A. Howey
2022	A*	`conf`	Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. NeurIPS Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2022	J	`jnl`	Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination. CoRR Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne
2022	J	`jnl`	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. Comput. Hum. Behav. Michio Takahashi, Masaki Adachi, Tomoya Hirota, Tomoko Nishimura, Hiroki Shinkawa, Hiroyuki Mori, Kazuhiko Nakamura