Výsledky vyhledávání - "sparse optimization"

Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey

Autoři: Shuai Shao Ye Tian Yajie Zhang a další

Zdroj: ACM Computing Surveys. 57:1-35

Témata: multi-objective optimization, evolutionary computation, large-scale optimization, sparse optimization

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks

Autoři: Fracastoro, Giulia Fosson, Sophie M. Migliorati, Andrea a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:4575-4585

Témata: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Biological neural networks, Computer architecture, Concave regularization, Iterative methods, lottery ticket hypothesis (LTH), Network topology, neural network pruning, Pipelines, sparse optimization, Task analysis, Training

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38478446
http://arxiv.org/abs/2501.11135
https://ieeexplore.ieee.org/document/10472155
https://doi.org/10.1109/tnnls.2024.3373609
https://hdl.handle.net/11583/2996295

Inexact proximal point method with a Bregman regularization for quasiconvex multiobjective optimization problems via limiting subdifferentials

Autoři: Balendu Bhooshan Upadhyay Subham Poddar Jen-Chih Yao a další

Zdroj: Annals of Operations Research. 345:417-466

Témata: generalized convexity, Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, Mordukhovich subdifferential, multiobjective optimization, Nonconvex programming, global optimization, sparse optimization, proximal point method, Bregman distance

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/7985174
https://doi.org/10.1007/s10479-024-06461-z

Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM)

Autoři: Jye Ying Sia Yong Kheng Goh How Hui Liew a další

Zdroj: Electronic Research Archive, Vol 33, Iss 2, Pp 890-906 (2025)

Témata: T57-57.97, Applied mathematics. Quantitative methods, data-driven differential equations, physics-informed neural networks (pinns), QA1-939, coupled first-order ode, sparse optimization, Mathematics, alternating direction method of multipliers (admm)

Přístupová URL adresa: https://doaj.org/article/cbd3e92a5fad443988bed45e6b27dc93

Learning PDEs from Data on Closed Surfaces with Sparse Optimization: Learning PDEs from data on closed surfaces with sparse optimization

Autoři: Sun, Zhengjie Ling, Leevan Zhang, Ran

Zdroj: Communications in Computational Physics. 37:289-314

Témata: meshless methods, data-driven modeling, Numerical radial basis function approximation, FOS: Mathematics, FOS: Physical sciences, surface PDE, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Mathematical Physics (math-ph), sparse optimization, Interpolation in approximation theory, Mathematical Physics

Popis souboru: application/xml

Přístupová URL adresa: http://arxiv.org/abs/2405.06199
https://zbmath.org/8033878
https://doi.org/10.4208/cicp.oa-2024-0112

The sparse(st) optimization problem: reformulations, optimality, stationarity, and numerical results

Autoři: Christian Kanzow Alexandra Schwartz Felix Weiß

Zdroj: Computational Optimization and Applications. 90:77-112

Témata: ddc:510, Global minima, Local minima, 0211 other engineering and technologies, Sparse optimization, 02 engineering and technology, 01 natural sciences, B-subdifferential, Quadratic convergence, Lagrange–Newton method, Optimization and Control (math.OC), FOS: Mathematics, 0101 mathematics, Strong stationarity, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2210.09589
https://hdl.handle.net/10419/315246

A Unified Multi-Objective Loss Function for Ethically Aligned, Robust, and Interpretable Machine Learning

Autoři: Arash Yousefi ORCID: https://orcid.org/0009-0003-7917-5590 Affiliation: IT&Science GmbH, Kradolf-Schönenberg, Switzerland

Témata: Ethical AI, Machine Learning, Fairness, Interpretability, SHAP, Robustness, Sparse Optimization, KKT, Multi-objective Learning, Trustworthy AI

Low Cost Quasi Gauss-Newton Algorithm Implementation for 2D ML-DoA Estimation using a Sparse Representation of Array Covariance

Autoři: Aussaguès, Thomas Ferréol, Anne Delmer, Alice a další

Přispěvatelé: Aussaguès, Thomas Ferréol, Anne Delmer, Alice a další

Témata: Noise whitening Orthogonal dictionary Sparse optimization Second-order, Orthogonal dictionary, Sparse optimization, Second-order, Noise whitening, [INFO] Computer Science [cs]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05075813v2
https://hal.science/hal-05075813v1

Parallel-in-Time Probabilistic Solutions for Time-Dependent Nonlinear Partial Differential Equations

Autoři: Iqbal, Sahel Abdulsamad, Hany Cator, Tripp a další

Přispěvatelé: Iqbal, Sahel Abdulsamad, Hany Cator, Tripp a další

Zdroj: 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). :1-6

Témata: kernel methods, parallel algorithm, probabilistic numerics, partial differential equations, parallel computation, sparse optimization

Popis souboru: application/pdf

Přístupová URL adresa: https://aaltodoc.aalto.fi/handle/123456789/131950

On convergence of iterative thresholding algorithms to approximate sparse solution for composite nonconvex optimization

Autoři: Yaohua Hu Xinlin Hu Xiaoqi Yang a další

Přispěvatelé: Yaohua Hu Xinlin Hu Xiaoqi Yang a další

Zdroj: Mathematical Programming. 211:181-206

Témata: Global solution, nonconvex sparse optimization, 0211 other engineering and technologies, Iterative thresholding algorithm, 02 engineering and technology, sparse solution, Nonconvex programming, global optimization, 01 natural sciences, iterative thresholding algorithm, Numerical mathematical programming methods, Proximal gradient algorithm, global solution, proximal gradient algorithm, Nonconvex sparse optimization, 0101 mathematics, Sparse solution

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/8035684
https://doi.org/10.1007/s10107-024-02068-1

A preconditioned Hessian-like proximal gradient algorithm for sparse ML-DOA estimation

Autoři: Aussaguès, Thomas Ferréol, Anne Delmer, Alice a další

Přispěvatelé: Aussaguès, Thomas Ferréol, Anne Delmer, Alice a další

Témata: Maximum Likelihood, Preconditioning, Sparse optimization, Second-order, [INFO] Computer Science [cs], Direction-of-Arrival estimation

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05241987v1

A Unified Multi-Objective Loss Function for Ethically Aligned, Robust, and Interpretable Machine Learning

Autoři: Yousefi, Arash

Témata: Multi-Objective Optimization, Fairness, Robustness, Explainability, Machine Learning, KKT, Ethical AI, BiasHunter, Fairness Robustness Interpretability Multi-objective Optimization KKT SHAP BiasHunter Sparse Models COMPAS Trustworthy AI, Ethical AI, Fairness, SHAP, Robust Optimization, Sparse Models, KKT Conditions, Multi-objective Loss, Trustworthy ML, COMPAS, Adult Income, CIFAR-10-C, BiasHunter, Explainability, Adversarial Robustness, Audit Framework, Gradient Optimization, Model Sparsity, ICML 2025, Responsible AI, Interpretable ML, Ethical AI, Machine Learning, Fairness, Interpretability, SHAP, Robustness, Sparse Optimization, KKT, Multi-objective Learning, Trustworthy AI

Mise en oeuvre efficace d'une radiogoniométrie au sens du maximum de vraisemblance via un algorithme parcimonieux quasi Gauss-Newton

Autoři: Aussaguès, Thomas Ferréol, Anne Delmer, Alice a další

Přispěvatelé: Aussaguès, Thomas Ferréol, Anne Delmer, Alice a další

Témata: Sparse optimization, Orthogonal dictionary, Second-order, Noise whitening, [INFO] Computer Science [cs]

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05229089v1

Sparsity-driven Aggregation of Mixed Integer Programs

Autoři: Xu, Liding Mexi, Gioni Bestuzheva, Ksenia a další

Přispěvatelé: Xu, Liding Mexi, Gioni Bestuzheva, Ksenia a další

Témata: valid inequality, separation, Optimization and Control (math.OC), aggregation, FOS: Mathematics, projection, ddc:004, mixed integer linear programming, cutting plane, sparse optimization, Mathematics - Optimization and Control

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2502.01192
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2025.27

Integral control of the proximal gradient method for unbiased sparse optimization

Autoři: Cerone, Vito Fosson, Sophie Marie Re, Alice a další

Témata: Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Sparse optimization, Optimization algorithms, Output regulation, Systems and Control (eess.SY), Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control

Přístupová URL adresa: http://arxiv.org/abs/2504.12814
https://hdl.handle.net/11583/3003595

Lasso-based state estimation for cyber-physical systems under sensor attacks

Autoři: Cerone, V. Fosson, S. Regruto, D. a další

Zdroj: IFAC-PapersOnLine. 58:163-168

Témata: Optimization and Control (math.OC), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Cyber-physical systems, sensor attacks, secure state estimation, sparse optimization, Lasso, Luenberger-like observers, Systems and Control (eess.SY), Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2405.20209
https://hdl.handle.net/11583/2992977
https://www.sciencedirect.com/science/article/pii/S2405896324013028
https://doi.org/10.1016/j.ifacol.2024.08.522

An adjoint feature-selection-based evolutionary algorithm for sparse large-scale multiobjective optimization

Autoři: Panpan Zhang Hang Yin Ye Tian a další

Zdroj: Complex & Intelligent Systems, Vol 11, Iss 2, Pp 1-18 (2025)

Témata: Large-scale multiobjective optimization, Sparse optimization, Evolutionary algorithm, Adjoint feature selection, Sparse distribution, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Přístupová URL adresa: https://doaj.org/article/93ec0fcaee4241db882df7f201c45148

Cardinality-constrained structured data-fitting problems

Autoři: Fan, Zhenan Fang, Huang Friedlander, Michael P.

Zdroj: Open Journal of Mathematical Optimization, Vol 5, Iss, Pp 1-21 (2024)

Témata: low-rank optimization, Optimization and Control (math.OC), convex analysis, primal-retrieval, QA1-939, 0211 other engineering and technologies, FOS: Mathematics, 02 engineering and technology, 0101 mathematics, sparse optimization, Mathematics - Optimization and Control, 01 natural sciences, Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2107.11373
https://doaj.org/article/0590b0b505494fdcbafefd4aa45bf074

Dual formulation of the sparsity constrained optimization problem: application to classification

Autoři: Gaudioso, M. Giallombardo, G. Hiriart-Urruty, Jean-Baptiste a další

Přispěvatelé: Gaudioso, M. Giallombardo, G. Hiriart-Urruty, Jean-Baptiste a další

Zdroj: Optimization Methods and Software. 39:84-101

Témata: Sparse optimization cardinality constraint polyhedral k-norm block coordinate methods, block coordinate methods, [INFO]Computer Science [cs], Sparse optimization, [MATH] Mathematics [math], [MATH]Mathematics [math], [INFO] Computer Science [cs], polyhedral k-norm, cardinality constraint

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/20.500.11770/360802
https://doi.org/10.1080/10556788.2023.2278091
https://hal.science/hal-04929338v1
https://doi.org/10.1080/10556788.2023.2278091
https://hal.science/hal-04929338v1/document

Flexible and Comprehensive Framework of Element Selection Based on Nonconvex Sparse Optimization

Autoři: Taiga Kawamura Natsuki Ueno Nobutaka Ono

Zdroj: IEEE Access, Vol 12, Pp 21337-21346 (2024)

Témata: element selection, proximal operator, Electrical engineering. Electronics. Nuclear engineering, 0101 mathematics, Dimensionality reduction, sparse optimization, Douglas–Rachford splitting method, 01 natural sciences, TK1-9971

Přístupová URL adresa: https://doaj.org/article/1893b960809744edbd6327fa48793dca