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Iiduka, Hideaki

  1. AuON: A Linear-time Alternative to Semi-Orthogonal Momentum Updates
    2025/07/02 by N Sato, Hiroki Naganuma, Sato, Naoki +3 · 13 citations
    Computer Science · Engineering · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muon and positron interactions and applications #Particle physics theoretical and experimental studies
  2. Proximal Point Algorithms for Nonsmooth Convex Optimization with Fixed\n Point Constraints
    2016/02/05 by Hideaki Iiduka, Iiduka, Hideaki · 1 citation
    Computer Science · Engineering · Mathematics · #49M37 #65K05 #90C25 #90C90 #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Mathematical Programming #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
  3. Two Stochastic Optimization Algorithms for Convex Optimization with\n Fixed Point Constraints
    2016/04/16 by Hideaki Iiduka, Iiduka, Hideaki · 1 citation
    Computer Science · Mathematics · Decision Sciences · #Optimization and Variational Analysis #Advanced Optimization Algorithms Research #Risk and Portfolio Optimization
  4. Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
    2024/09/13 by Hideyuki Umeda, Umeda, Hikaru, Hideaki Iiduka +1 · 5 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  5. Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
    2022/01/28 by Sato, Naoki, Iiduka, Hideaki · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  6. Riemannian Adaptive Optimization Algorithm and Its Application to Natural Language Processing
    2020/04/02 by Hiroyuki Sakai, Hideaki Iiduka, Sakai, Hiroyuki +1 · 2 citations
    Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Tensor decomposition and applications
  7. Fixed Point Quasiconvex Subgradient Method
    2018/11/16 by Kazuhiro Hishinuma, Hideaki Iiduka, Hishinuma, Kazuhiro +1 · 1 citation
    Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Fixed Point Theorems Analysis #Optimization and Control (math.OC) #Optimization and Variational Analysis
  8. Appropriate Learning Rates of Adaptive Learning Rate Optimization\n Algorithms for Training Deep Neural Networks
    2020/02/22 by Hideaki Iiduka, Iiduka, Hideaki · 1 citation
    Computer Science · Engineering · #65K05 #90C25 #90C90 #92B20 #FOS: Mathematics #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  9. Hybrid Riemannian Conjugate Gradient Methods with Global Convergence Properties
    2020/02/05 by Hiroyuki Sakai, Sakai, Hiroyuki, Hideaki Iiduka +1 · 1 citation
    Computer Science · Mathematics · #57R35 #65K05 #90C26 #Advanced Optimization Algorithms Research #FOS: Mathematics #Iterative Methods for Nonlinear Equations #Matrix Theory and Algorithms #Optimization and Control (math.OC)
  10. Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates
    2024/02/23 by Imaizumi, Kento, Iiduka, Hideaki · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Convergence of Riemannian Stochastic Gradient Descent on Hadamard Manifold
    2023/12/13 by Hiroyuki Sakai, Hideaki Iiduka, Sakai, Hiroyuki +1 · 1 citation
    Computer Science · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Face and Expression Recognition #Statistical Mechanics and Entropy
  12. A general framework of Riemannian adaptive optimization methods with a convergence analysis
    2024/09/01 by Sakai, Hiroyuki, Iiduka, Hideaki · 1 citation
    #57R25 #65k05 #90C25 #FOS: Mathematics #G.1.6 #Optimization and Control (math.OC)