Hideaki Iiduka

发表

Parallel Computing Method for Nonsmooth Convex Optimization (Nonlinear Analysis and Convex Analysis)

Kazuhiro Hishinuma, Hideaki Iiduka, 2015 .

Two stochastic optimization algorithms for convex optimization with fixed point constraints

Hideaki Iiduka, H. Iiduka, 2016, Optim. Methods Softw..

Riemannian Adaptive Optimization Algorithm and Its Application to Natural Language Processing

Hiroyuki Sakai, Hideaki Iiduka, 2020 .

Convex optimization over fixed point sets of quasi-nonexpansive and nonexpansive mappings in utility-based bandwidth allocation problems with operational constraints

Hideaki Iiduka, H. Iiduka, 2015, J. Comput. Appl. Math..

Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning pdf

Hideaki Iiduka, Yu Kobayashi, 2020, ArXiv.

Hybrid Riemannian conjugate gradient methods with global convergence properties

Hiroyuki Sakai, Hideaki Iiduka, 2020, Comput. Optim. Appl..

Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization

Yoichi Hayashi, Hideaki Iiduka, 2018, Neurocomputing.

Line search fixed point algorithms based on nonlinear conjugate gradient directions: application to constrained smooth convex optimization

Hideaki Iiduka, H. Iiduka, 2015, Fixed Point Theory and Applications.

Convergence analysis of iterative methods for nonsmooth convex optimization over fixed point sets of quasi-nonexpansive mappings

Hideaki Iiduka, H. Iiduka, 2015, Mathematical Programming.

Acceleration Method Combining Broadcast and Incremental Distributed Optimization Algorithms

Kazuhiro Hishinuma, Hideaki Iiduka, H. Iiduka, 2014, SIAM J. Optim..

Decentralized Algorithm for Centralized Variational Inequalities in Network Resource Allocation

Hideaki Iiduka, 2011, J. Optim. Theory Appl..

Survey on the Family of the Recursive-Rule Extraction Algorithm

Hiroyuki Mori, Tomohiro Takagi, Yoichi Hayashi, 2015 .

Stochastic Fixed Point Optimization Algorithm for Classifier Ensemble

Hideaki Iiduka, H. Iiduka, 2020, IEEE Transactions on Cybernetics.

Fixed point optimization algorithm and its application to network bandwidth allocation

Hideaki Iiduka, H. Iiduka, 2012, J. Comput. Appl. Math..

Iterative Algorithm for Triple-Hierarchical Constrained Nonconvex Optimization Problem and Its Application to Network Bandwidth Allocation

Hideaki Iiduka, H. Iiduka, 2012, SIAM J. Optim..

Acceleration method for convex optimization over the fixed point set of a nonexpansive mapping

Hideaki Iiduka, H. Iiduka, 2015, Math. Program..

Decentralized hierarchical constrained convex optimization

Hideaki Iiduka, H. Iiduka, 2020, Optimization and Engineering.

Fixed point quasiconvex subgradient method

Kazuhiro Hishinuma, Hideaki Iiduka, H. Iiduka, 2018, Eur. J. Oper. Res..

Riemannian stochastic fixed point optimization algorithm

Hiroyuki Sakai, Hideaki Iiduka, H. Iiduka, 2020, Numerical Algorithms.

Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments

Kazuhiro Hishinuma, Hideaki Iiduka, H. Iiduka, 2016, Front. Robot. AI.

An Ergodic Algorithm for the Power-Control Games for CDMA Data Networks

Isao Yamada, Hideaki Iiduka, 2009, J. Math. Model. Algorithms.

A Use of Conjugate Gradient Direction for the Convex Optimization Problem over the Fixed Point Set of a Nonexpansive Mapping

Isao Yamada, Hideaki Iiduka, I. Yamada, 2008, SIAM J. Optim..

Fixed point optimization algorithm and its application to power control in CDMA data networks

Hideaki Iiduka, H. Iiduka, 2010, Mathematical Programming.

Conjugate gradient methods using value of objective function for unconstrained optimization

Hideaki Iiduka, Yasushi Narushima, Yasushi Narushima, 2011, Optimization Letters.

Incremental subgradient method for nonsmooth convex optimization with fixed point constraints

Hideaki Iiduka, H. Iiduka, 2016, Optim. Methods Softw..

Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores

Guido Bologna, Tomohiro Takagi, Sushmita Mitra, 2016, J. Artif. Intell. Soft Comput. Res..

Training Deep Neural Networks Using Conjugate Gradient-like Methods

Hideaki Iiduka, Yu Kobayashi, 2020 .

Distributed Optimization for Network Resource Allocation With Nonsmooth Utility Functions

Hideaki Iiduka, H. Iiduka, 2019, IEEE Transactions on Control of Network Systems.

Proximal point algorithms for nonsmooth convex optimization with fixed point constraints

Hideaki Iiduka, H. Iiduka, 2016, Eur. J. Oper. Res..

Three-term conjugate gradient method for the convex optimization problem over the fixed point set of a nonexpansive mapping

Hideaki Iiduka, 2011, Appl. Math. Comput..

Appropriate Learning Rates of Adaptive Learning Rate Optimization Algorithms for Training Deep Neural Networks.

Hideaki Iiduka, 2020 .

Modeling User Behavior in P2P Data Storage System

Hideaki Iiduka, Masato Uchida, Isao Sugino, 2015, IEICE Trans. Commun..

Fixed Point Optimization Algorithms for Network Bandwidth Allocation Problems with Compoundable Constraints

Hideaki Iiduka, Masato Uchida, M. Uchida, 2011, IEEE Communications Letters.

Computational Method for Solving a Stochastic Linear-Quadratic Control Problem Given an Unsolvable Stochastic Algebraic Riccati Equation

Hideaki Iiduka, Isao Yamada, I. Yamada, 2012, SIAM J. Control. Optim..

Iterative Algorithm for Solving Triple-Hierarchical Constrained Optimization Problem

Hideaki Iiduka, H. Iiduka, 2011, J. Optim. Theory Appl..

Fixed Point Optimization Algorithms for Distributed Optimization in Networked Systems

Hideaki Iiduka, H. Iiduka, 2013, SIAM J. Optim..

Riemannian Adaptive Optimization Algorithm and its Application to Natural Language Processing

Hiroyuki Sakai, Hideaki Iiduka, H. Iiduka, 2020, IEEE Transactions on Cybernetics.

Appropriate Learning Rates of Adaptive Learning Rate Optimization Algorithms for Training Deep Neural Networks

Hideaki Iiduka, H. Iiduka, 2020, IEEE Transactions on Cybernetics.

Minimization of Stochastic First-order Oracle Complexity of Adaptive Methods for Nonconvex Optimization pdf

Hideaki Iiduka, H. Iiduka, 2021, ArXiv.

Inexact stochastic subgradient projection method for stochastic equilibrium problems with nonmonotone bifunctions: application to expected risk minimization in machine learning

Hideaki Iiduka, H. Iiduka, 2021, J. Glob. Optim..

Sufficient Descent Riemannian Conjugate Gradient Methods

Hiroyuki Sakai, Hideaki Iiduka, 2021, J. Optim. Theory Appl..

Unified Algorithm Framework for Nonconvex Stochastic Optimization in Deep Neural Networks

Hideaki Iiduka, Yini Zhu, H. Iiduka, 2021, IEEE Access.

The Number of Steps Needed for Nonconvex Optimization of a Deep Learning Optimizer is a Rational Function of Batch Size pdf

Hideaki Iiduka, H. Iiduka, 2021, ArXiv.

A new iterative algorithm for the variational inequality problem over the fixed point set of a firmly nonexpansive mapping

Hideaki Iiduka, H. Iiduka, 2010 .

APPROXIMATION OF SOLUTIONS OF VARIATIONAL INEQUALITIES FOR MONOTONE MAPPINGS

Wataru Takahashi, Hideaki Iiduka, M Toyoda, 2004 .

Incremental and Parallel Line Search Subgradient Methods for Constrained Nonsmooth Convex Optimization - Numerically accelerated results by multi-core computing

Kazuhiro Hishinuma, Hideaki Iiduka, H. Iiduka, 2016, 1605.03738.

Strong convergence theorems for nonexpansive mappings and inverse-strongly monotone mappings

Wataru Takahashi, Hideaki Iiduka, W. Takahashi, 2005 .

Strong convergence for an iterative method for the triple-hierarchical constrained optimization problem

Hideaki Iiduka, H. Iiduka, 2009 .

Weak convergence of an iterative sequence for accretive operators in Banach spaces

Wataru Takahashi, Hideaki Iiduka, W. Takahashi, 2006 .

A subgradient-type method for the equilibrium problem over the fixed point set and its applications

Isao Yamada, Hideaki Iiduka, I. Yamada, 2009 .

Weak convergence of a projection algorithm for variational inequalities in a Banach space

Wataru Takahashi, Hideaki Iiduka, W. Takahashi, 2008 .

Strong convergence studied by a hybrid type method for monotone operators in a Banach space

Wataru Takahashi, Hideaki Iiduka, W. Takahashi, 2008 .

Parallel computing subgradient method for nonsmooth convex optimization over the intersection of fixed point sets of nonexpansive mappings

Hideaki Iiduka, H. Iiduka, 2015 .