Hideaki Iiduka
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Professor
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About
Professor Hideaki Iiduka is a faculty member at Meiji Daigaku - Ikuta Campus in Japan. His research primarily focuses on optimization algorithms, particularly in the context of stochastic gradient descent, adaptive learning rates, and their applications in deep learning and natural language processing. He has published several articles addressing complex topics such as the global convergence of Riemannian methods and stochastic approximation techniques.
Recent Grants
Grant: Close
大規模かつ複雑なネットワーク上の資源を高速に割り当てるための分散型不動点劣勾配法
Open Date: 2015-04-01
Close Date: 2018-03-01
Grant: Close
Decentralized Fixed Point Optimization algorithms for network resource allocation problems
Open Date: 2011-04-01
Close Date: 2013-03-01
Grant: Close
Fixed point optimization algorithm and its application to linear-quadratic control problems
Open Date: 2009-04-01
Close Date: 2011-03-01
Grant: Close
Iterative algorithms for equilibrium problems and their application to power control
Open Date: 2007-04-01
Close Date: 2009-03-01
Articles (11)
Year:
2024
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2023
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2022
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2022
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2022
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2022
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2021
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2021
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2021
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2020
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2020
Collaborators (1)
Hiroyuki Sato
Associate Professor
Kyoto University
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