Satoshi Hayakawa

According to our database, Satoshi Hayakawa authored at least 25 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Policy Gradient with Kernel Quadrature.

Satoshi Hayakawa, Tetsuro Morimura

Trans. Mach. Learn. Res., 2024

Synthesis of adaptive gain robust model-following/tracking controllers for a class of uncertain systems via piecewise Lyapunov functions.

Satoshi Hayakawa, Takuya Nakagawa, Kazuma Hasegawa, Hidetoshi Oya, Yoshikatsu Hoshi

Int. J. Control, 2024

Distillation of Discrete Diffusion through Dimensional Correlations.

Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji

CoRR, 2024

<i>Jump Your Steps</i>: Optimizing Sampling Schedule of Discrete Diffusion Models.

Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji

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

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Synthesis of adaptive gain robust model-following/tracking controllers for uncertain systems with multiple unknown dead-zone inputs via piecewise Lyapunov functions.

Satoshi Hayakawa, Takuya Nakagawa, Kazuma Hasegawa, Hidetoshi Oya, Yoshikatsu Hoshi

Int. J. Syst. Sci., June, 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

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

Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation.

Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda

Proceedings of the International Conference on Machine Learning, 2023

Sampling-based Nyström Approximation and Kernel Quadrature.

Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons

Proceedings of the International Conference on Machine Learning, 2023

2022

Hypercontractivity Meets Random Convex Hulls: Analysis of Randomized Multivariate Cubatures.

Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons

CoRR, 2022

Positively Weighted Kernel Quadrature via Subsampling.

Satoshi Hayakawa, Harald Oberhauser, Terry J. Lyons

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination.

Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Synthesis of Adaptive Gain Robust Controllers for Polytopic Uncertain Systems with Multiple Unknown Dead-Zone Inputs.

Satoshi Hayakawa, Takuya Nakagawa, Hidetoshi Oya, Yoshikatsu Hoshi

Proceedings of the IECON 2022, 2022

2020

On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces.

Satoshi Hayakawa, Taiji Suzuki

Neural Networks, 2020

Error bounds of potential theoretic numerical integration formulas in weighted Hardy spaces.

Satoshi Hayakawa, Ken'ichiro Tanaka

JSIAM Lett., 2020

Monte Carlo construction of cubature on Wiener space.

Satoshi Hayakawa, Ken'ichiro Tanaka

CoRR, 2020

Monte-Carlo Cubature construction.

Satoshi Hayakawa

CoRR, 2020

2019

Convergence analysis of approximation formulas for analytic functions via duality for potential energy minimization.

Satoshi Hayakawa, Ken'ichiro Tanaka

CoRR, 2019

2016

Affecting market efficiency by increasing speed of order matching systems on financial exchanges - investigation using agent based model.

Takanobu Mizuta, Yoshito Noritake, Satoshi Hayakawa, Kiyoshi Izumi

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2013

In vitro cytocompatibility of microspheres derived from chitosan-silicate hybrids.

Yuki Shirosaki, Kohei Okamoto, Satoshi Hayakawa, Akiyoshi Osaka

Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2013

2007

Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions.

Sadaaki Miyamoto, Satoshi Hayakawa, Yuichi Kawasaki

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006

A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations.

Sadaaki Miyamoto, Satoshi Hayakawa

Proceedings of the Rough Sets and Current Trends in Computing, 2006

2005

Classification and clustering of information objects based on fuzzy neighborhood system.

Sadaaki Miyamoto, Yasunori Endo, Satoshi Hayakawa, Erina Kataoka

Proceedings of the IEEE International Conference on Systems, 2005