Yamada, Isao
- Compositions and Convex Combinations of Averaged Nonexpansive Operators
2014/07/18 by Combettes, Patrick L., Yamada, Isao · 5 citations
#46N10 #47H05 #47H09 #FOS: Mathematics #Functional Analysis (math.FA)
- The adaptive projected subgradient method constrained by families of quasi-nonexpansive mappings and its application to online learning
2010/08/31 by Slavakis, Konstantinos, Yamada, Isao · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Monotone Lipschitz-Gradient Denoiser: Explainability of Operator Regularization Approaches Free From Lipschitz Constant Control
2024/06/07 by Masahiro Yukawa, Isao Yamada, Yukawa, Masahiro +1 · 3 citations
Mathematics · Computer Science · Engineering · #Numerical methods in inverse problems #Advanced Mathematical Modeling in Engineering #Thermoelastic and Magnetoelastic Phenomena
- Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model
2023/11/30 by Zhang, Yi, Yamada, Isao · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering