Imagen de Portada

Nonconvex Latent Optimally Partitioned Block-Sparse Recovery via Log-Sum and Minimax Concave Penalties

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Furuhashi, Takanobu, Kuroda, Hiroki, Yukawa, Masahiro, Zhao, Qibin, Hontani, Hidekata, Yokota, Tatsuya
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope
por: Furuhashi, Takanobu, et al.
Publicado: (2025)

Adaptive Block Sparse Regularization under Arbitrary Linear Transform
por: Furuhashi, Takanobu, et al.
Publicado: (2024)

Theoretical Validation of the Latent Optimally Partitioned-$\ell_2/\ell_1$ Penalty with Application to Angular Power Spectrum Estimation
por: Kuroda, Hiroki, et al.
Publicado: (2025)

A Convex-Nonconvex Framework for Enhancing Minimization Induced Penalties
por: Kuroda, Hiroki
Publicado: (2024)

Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
por: Kim, Kaheon, et al.
Publicado: (2025)

Multi-Scale Representation of Follicular Lymphoma Pathology Images in a Single Hyperbolic Space
por: Taguchi, Kei, et al.
Publicado: (2025)

On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
por: Lin, Tianyi, et al.
Publicado: (2019)

Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
por: Tran-Dinh, Quoc, et al.
Publicado: (2024)

SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
por: Zhang, Xuan, et al.
Publicado: (2022)

Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
por: Shi, Jinyang, et al.
Publicado: (2026)

An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
por: Chen, Lesi, et al.
Publicado: (2022)

Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization
por: Jiang, Xia, et al.
Publicado: (2025)

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization
por: Zhang, Ruijia, et al.
Publicado: (2025)

Smoothing Meets Perturbation: Unified and Tight Analysis for Nonconvex-Concave Minimax Optimization
por: Li, Jiajin, et al.
Publicado: (2026)

Completely Parameter-Free Single-Loop Algorithms for Nonconvex-Concave Minimax Problems
por: Yang, Junnan, et al.
Publicado: (2024)

Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems
por: Xu, Zi, et al.
Publicado: (2021)

A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems
por: Aybat, Necdet Serhat, et al.
Publicado: (2024)

Continuous Relaxation of Discontinuous Shrinkage Operator: Proximal Inclusion and Conversion
por: Yukawa, Masahiro
Publicado: (2024)

Plugging Weight-tying Nonnegative Neural Network into Proximal Splitting Method: Architecture for Guaranteeing Convergence to Optimal Point
por: Shimizu, Haruya, et al.
Publicado: (2025)

Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
por: Holzmüller, David, et al.
Publicado: (2023)

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
por: Nishiyama, Daiki, et al.
Publicado: (2025)

Proximal Gradient Descent Ascent Methods for Nonsmooth Nonconvex-Concave Minimax Problems on Riemannian Manifolds
por: Xie, Xiyuan, et al.
Publicado: (2025)

Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems
por: Jiang, Xia, et al.
Publicado: (2024)

A Homogeneous Second-Order Descent Ascent Algorithm for Nonconvex-Strongly Concave Minimax Problems
por: Chen, Jia-Hao, et al.
Publicado: (2026)

Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
por: Wang, Jun-Lin, et al.
Publicado: (2024)

Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
por: Luo, Ruichen, et al.
Publicado: (2025)

Sparse Signal Recovery using Log-Sum Regularization and Adaptive Smoothing
por: Morita, Keisuke, et al.
Publicado: (2026)

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach
por: Feng, Lechen, et al.
Publicado: (2025)

Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
por: Jeon, Kijung, et al.
Publicado: (2025)

Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties
por: Yang, Kai, et al.
Publicado: (2020)

An Efficient Stochastic First-Order Algorithm for Nonconvex-Strongly Concave Minimax Optimization beyond Lipschitz Smoothness
por: Gao, Yan, et al.
Publicado: (2026)

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Non-Penalty Approach
por: Feng, Lechen, et al.
Publicado: (2025)

Monotone Lipschitz-Gradient Denoiser: Explainability of Operator Regularization Approaches Free From Lipschitz Constant Control
por: Yukawa, Masahiro, et al.
Publicado: (2024)

Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
por: Nguyen, Tung L, et al.
Publicado: (2025)

Minimax and Bayes Optimal Best-Arm Identification
por: Kato, Masahiro
Publicado: (2025)

Sum-Rate Maximization via Convex Optimization Using Subgradient Projections Onto Nonlinear Spectral Radius Constraint Sets
por: Kuroda, Hiroki, et al.
Publicado: (2026)

Log-Concavity and Infinite Log-Concavity of Linear Recurrent Sequences with Linear Coefficients via Companion Matrix Methods
por: Giacomelli, Piero
Publicado: (2026)

Optimal Recovery Meets Minimax Estimation
por: DeVore, Ronald, et al.
Publicado: (2025)

Very Basics of Tensors with Graphical Notations: Unfolding, Calculations, and Decompositions
por: Yokota, Tatsuya
Publicado: (2024)

Penalty Learning for Optimal Partitioning using Multilayer Perceptron
por: Nguyen, Tung L, et al.
Publicado: (2024)