Cover Image

Randomized Block Coordinate DC Programming

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maskan, Hoomaan, Halvachi, Paniz, Sra, Suvrit, Yurtsever, Alp
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Statistics Theory 90C26
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Multi-Block DC Function Class: Theory, Algorithms, and Applications
by: Fatemi, Pouria, et al.
Published: (2026)

Revisiting Frank-Wolfe for Structured Nonconvex Optimization
by: Maskan, Hoomaan, et al.
Published: (2025)

Exact Convex Reformulations of Linear Neural Networks via Completely Positive Lifting
by: Prakhya, Karthik, et al.
Published: (2026)

DC Semidefinite Programming and Cone Constrained DC Optimization: Theory and Local Search Methods
by: Dolgopolik, M. V.
Published: (2021)

Tight Generalization Bounds for Noiseless Inverse Optimization
by: Fatemi, Pouria, et al.
Published: (2026)

Locally Optimal Eigenvectors of Regular Simplex Tensors
by: Wang, Lei
Published: (2023)

An Extended ADMM for 3-Block Nonconvex Nonseparable Problems with Applications
by: Liu, Zekun
Published: (2024)

Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
by: Hou, Yikun, et al.
Published: (2025)

Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
by: McRae, Andrew D.
Published: (2024)

A Unified Model for High-Resolution ODEs: New Insights on Accelerated Methods
by: Maskan, Hoomaan, et al.
Published: (2025)

A new envelope function for nonsmooth DC optimization
by: Themelis, Andreas, et al.
Published: (2020)

A Boosted-DCA with Power-Sum-DC Decomposition for Linearly Constrained Polynomial Programs
by: Zhang, Hu, et al.
Published: (2022)

On Optimality Conditions for Mathematical Programming Problems Based on Strong Subdifferentials
by: Lara, Felipe, et al.
Published: (2026)

Random Reshuffling with Momentum for Nonconvex Problems: Iteration Complexity and Last Iterate Convergence
by: Qiu, Junwen, et al.
Published: (2024)

Piecewise SOS-Convex Moment Optimization and Applications via Exact Semi-Definite Programs
by: Huang, Queenie Yingkun, et al.
Published: (2024)

Multiobjective Programming and Weighting Scalar Problem
by: Ivanov, Vsevolod I.
Published: (2025)

Extended Triangle Inequalities for Nonconvex Box-Constrained Quadratic Programming
by: Anstreicher, Kurt M., et al.
Published: (2025)

Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
by: Higuchi, Rei, et al.
Published: (2024)

On a minimization problem of the maximum generalized eigenvalue: properties and algorithms
by: Nishioka, Akatsuki, et al.
Published: (2023)

Minimizing and Maximizing the Shannon Entropy for Fixed Marginals
by: Franke, Paula, et al.
Published: (2025)

Dual Spectral Projected Gradient Method for Generalized Log-det Semidefinite Programming
by: Namchaisiri, Charles, et al.
Published: (2024)

Finding directional stationary points of DC programs
by: Thi, Hoai An Le, et al.
Published: (2026)

A Unifying Convexification Framework for Chance-Constrained Programs via Bilinear Extended Formulations over a Simplex
by: Davarnia, Danial, et al.
Published: (2025)

Optimization without Retraction on the Random Generalized Stiefel Manifold
by: Vary, Simon, et al.
Published: (2024)

Benign landscapes for synchronization on spheres via normalized Laplacian matrices
by: McRae, Andrew D.
Published: (2025)

A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
by: Qiu, Junwen, et al.
Published: (2023)

A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers
by: Menickelly, Matt, et al.
Published: (2023)

Extending Exact Convex Relaxations of Quadratically Constrained Quadratic Programs
by: Kojima, Masakazu, et al.
Published: (2025)

An open-source solver for finding global solutions to constrained derivative-free optimization problems
by: Chandramouli, Gannavarapu, et al.
Published: (2024)

A Barrier Function Approach for Bilevel Optimization with Coupled Lower-Level Constraints: Formulation, Approximation and Algorithms
by: Jiang, Xiaotian, et al.
Published: (2024)

Riemannian Bilevel Optimization
by: Li, Jiaxiang, et al.
Published: (2024)

Improved Mixing and Pressure Loss Formulations for Gas Network Optimization
by: Kim, Geonhee, et al.
Published: (2025)

Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes
by: Li, Hanmin, et al.
Published: (2023)

A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
by: Josz, Cedric, et al.
Published: (2018)

Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
by: Li, Hanmin, et al.
Published: (2023)

Globally Solving Concave Quadratic Programs via Doubly Nonnegative Relaxation
by: Qu, Zheng, et al.
Published: (2023)

Real-time solution of quadratic optimization problems with banded matrices and indicator variables
by: Gomez, Andres, et al.
Published: (2024)

A four-operator splitting algorithm for nonconvex and nonsmooth optimization
by: Alcantara, Jan Harold, et al.
Published: (2024)

Extending Linear Convergence of the Proximal Point Algorithm: The Quasar-Convex Case
by: de Brito, José, et al.
Published: (2025)

Star Quasiconvexity: a Unified Approach for Linear Convergence of First-Order Methods Beyond Convexity
by: Khanh, Phan Quoc, et al.
Published: (2025)