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Satoshi Hayakawa

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Policy Gradient with Kernel Quadrature

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Oct 23, 2023
Satoshi Hayakawa, Tetsuro Morimura

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Domain-Agnostic Batch Bayesian Optimization with Diverse Constraints via Bayesian Quadrature

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Jun 09, 2023
Masaki Adachi, Satoshi Hayakawa, Xingchen Wan, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne

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SOBER: Scalable Batch Bayesian Optimization and Quadrature using Recombination Constraints

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Jan 30, 2023
Masaki Adachi, Satoshi Hayakawa, Saad Hamid, Martin Jørgensen, Harald Oberhauser, Micheal A. Osborne

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

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Jan 27, 2023
Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda

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Sampling-based Nyström Approximation and Kernel Quadrature

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Jan 23, 2023
Satoshi Hayakawa, Harald Oberhauser, Terry Lyons

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Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination

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Jun 09, 2022
Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Harald Oberhauser, Michael A. Osborne

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Positively Weighted Kernel Quadrature via Subsampling

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Jul 20, 2021
Satoshi Hayakawa, Harald Oberhauser, Terry Lyons

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

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May 22, 2019
Satoshi Hayakawa, Taiji Suzuki

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