2 papers
eess.IV2026
Learning Variable Metrics for Convergent Proximal Splitting Algorithms
Yodai Suzuki, Shunsuke Ono
We propose learned variable metric (LVM), a framework that learns metrics of proximal splitting algorithms adapted to each problem instance, coordinate, and iteration with a conver…
eess.SP2024
Sparsity-Enhanced Multilayered Non-Convex Regularization with Epigraphical Relaxation for Debiased Signal Recovery
Akari Katsuma, Seisuke Kyochi, Shunsuke Ono +1
This paper proposes a precise signal recovery method with multilayered non-convex regularization, enhancing sparsity/low-rankness for high-dimensional signals including images and…