Revisiting Frank-Wolfe for Structured Nonconvex Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Maskan, Hoomaan, Hou, Yikun, Sra, Suvrit, Yurtsever, Alp |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| 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)
by: Fatemi, Pouria, et al.
Published: (2026)
Randomized Block Coordinate DC Programming
by: Maskan, Hoomaan, et al.
Published: (2024)
by: Maskan, Hoomaan, et al.
Published: (2024)
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
by: Hou, Yikun, et al.
Published: (2025)
by: Hou, Yikun, et al.
Published: (2025)
Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization
by: Nandhan, Navil, et al.
Published: (2026)
by: Nandhan, Navil, et al.
Published: (2026)
Exact Convex Reformulations of Linear Neural Networks via Completely Positive Lifting
by: Prakhya, Karthik, et al.
Published: (2026)
by: Prakhya, Karthik, et al.
Published: (2026)
Tight Generalization Bounds for Noiseless Inverse Optimization
by: Fatemi, Pouria, et al.
Published: (2026)
by: Fatemi, Pouria, et al.
Published: (2026)
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
by: Qiu, Junwen, et al.
Published: (2023)
by: Qiu, Junwen, et al.
Published: (2023)
A Frank-Wolfe-based primal heuristic for quadratic mixed-integer optimization
by: Mexi, Gioni, et al.
Published: (2025)
by: Mexi, Gioni, et al.
Published: (2025)
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
by: Wang, Jun-Lin, et al.
Published: (2024)
by: Wang, Jun-Lin, et al.
Published: (2024)
Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization
by: Xie, Yue, et al.
Published: (2024)
by: Xie, Yue, et al.
Published: (2024)
Step-Size Stability in Stochastic Optimization: A Theoretical Perspective
by: Schaipp, Fabian, et al.
Published: (2026)
by: Schaipp, Fabian, et al.
Published: (2026)
Optimization without Retraction on the Random Generalized Stiefel Manifold
by: Vary, Simon, et al.
Published: (2024)
by: Vary, Simon, et al.
Published: (2024)
Stochastic Gradient Descent Revisited
by: Louzi, Azar
Published: (2024)
by: Louzi, Azar
Published: (2024)
MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization
by: Li, Luxuan, et al.
Published: (2026)
by: Li, Luxuan, et al.
Published: (2026)
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
by: Fatkhullin, Ilyas, et al.
Published: (2024)
by: Fatkhullin, Ilyas, et al.
Published: (2024)
Lagrangian Reformulation for Nonconvex Optimization: Tailoring Problems to Specialized Solvers
by: Quintero, Rodolfo A., et al.
Published: (2024)
by: Quintero, Rodolfo A., et al.
Published: (2024)
Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
by: Higuchi, Rei, et al.
Published: (2024)
by: Higuchi, Rei, et al.
Published: (2024)
A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods
by: Qiu, Junwen, et al.
Published: (2024)
by: Qiu, Junwen, et al.
Published: (2024)
Random Reshuffling with Momentum for Nonconvex Problems: Iteration Complexity and Last Iterate Convergence
by: Qiu, Junwen, et al.
Published: (2024)
by: Qiu, Junwen, et al.
Published: (2024)
Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
by: Takahashi, Shota, et al.
Published: (2025)
by: Takahashi, Shota, et al.
Published: (2025)
FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection
by: He, Yutong, et al.
Published: (2026)
by: He, Yutong, et al.
Published: (2026)
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning
by: Karagulyan, Avetik, et al.
Published: (2024)
by: Karagulyan, Avetik, et al.
Published: (2024)
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
by: Rammal, Ahmad, et al.
Published: (2023)
by: Rammal, Ahmad, et al.
Published: (2023)
Global convergence of gradient descent for phase retrieval
by: Fougereux, Théodore, et al.
Published: (2024)
by: Fougereux, Théodore, et al.
Published: (2024)
Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets
by: Li, Mengmeng, et al.
Published: (2023)
by: Li, Mengmeng, et al.
Published: (2023)
A Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties
by: Qiu, Junwen, et al.
Published: (2023)
by: Qiu, Junwen, et al.
Published: (2023)
Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026)
by: Xie, Xiyuan, et al.
Published: (2026)
Further Development in Convex Conic Reformulation of Geometric Nonconvex Conic Optimization Problems
by: Arima, Naohiko, et al.
Published: (2023)
by: Arima, Naohiko, et al.
Published: (2023)
Extended Triangle Inequalities for Nonconvex Box-Constrained Quadratic Programming
by: Anstreicher, Kurt M., et al.
Published: (2025)
by: Anstreicher, Kurt M., et al.
Published: (2025)
A Refined Proximal Algorithm for Nonconvex Multiobjective Optimization in Hilbert Spaces
by: Bento, G. C., et al.
Published: (2024)
by: Bento, G. C., et al.
Published: (2024)
Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
by: Fatkhullin, Ilyas, et al.
Published: (2025)
by: Fatkhullin, Ilyas, et al.
Published: (2025)
Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
by: Qiu, Junwen, et al.
Published: (2026)
by: Qiu, Junwen, et al.
Published: (2026)
Two trust region type algorithms for solving nonconvex-strongly concave minimax problems
by: Yao, Tongliang, et al.
Published: (2024)
by: Yao, Tongliang, et al.
Published: (2024)
A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
by: Wang, Junlin, et al.
Published: (2024)
by: Wang, Junlin, et al.
Published: (2024)
Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)
by: Dahl, Simeon vom, et al.
Published: (2026)
Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPs
by: Kannan, Rohit, et al.
Published: (2022)
by: Kannan, Rohit, et al.
Published: (2022)
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization
by: Engquist, Björn, et al.
Published: (2022)
by: Engquist, Björn, et al.
Published: (2022)
Scenario approach for minmax optimization with emphasis on the nonconvex case: positive results and caveats
by: K, Mishal Assif P, et al.
Published: (2019)
by: K, Mishal Assif P, et al.
Published: (2019)
A Barrier-Metric First-Order Method for Linearly Constrained Bilevel Optimization
by: Hong, Tenglong, et al.
Published: (2026)
by: Hong, Tenglong, et al.
Published: (2026)
Similar Items
-
The Multi-Block DC Function Class: Theory, Algorithms, and Applications
by: Fatemi, Pouria, et al.
Published: (2026) -
Randomized Block Coordinate DC Programming
by: Maskan, Hoomaan, et al.
Published: (2024) -
Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
by: Hou, Yikun, et al.
Published: (2025) -
Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization
by: Nandhan, Navil, et al.
Published: (2026) -
Exact Convex Reformulations of Linear Neural Networks via Completely Positive Lifting
by: Prakhya, Karthik, et al.
Published: (2026)