Fast projection onto the top-k-sum constraint
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Jianting, Yan, Ming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On $O(n)$ Algorithms for Projection onto the Top-$k$-sum Sublevel Set
by: Roth, Jake, et al.
Published: (2023)
by: Roth, Jake, et al.
Published: (2023)
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction
by: Roth, Jake, et al.
Published: (2024)
by: Roth, Jake, et al.
Published: (2024)
Greedy Learning to Optimize with Convergence Guarantees
by: Fahy, Patrick, et al.
Published: (2024)
by: Fahy, Patrick, et al.
Published: (2024)
An efficient second-order cone programming approach for dynamic optimal transport on staggered grid discretization
by: Chen, Liang, et al.
Published: (2025)
by: Chen, Liang, et al.
Published: (2025)
Bilevel Learning via Inexact Stochastic Gradient Descent
by: Salehi, Mohammad Sadegh, et al.
Published: (2025)
by: Salehi, Mohammad Sadegh, et al.
Published: (2025)
Monomial barrier functions for the box-constrained convex optimization problems
by: Fayed, Hatem
Published: (2024)
by: Fayed, Hatem
Published: (2024)
Semi-Monotone Goldstein Line Search Strategy with Application in Sparse Recovery
by: Shabani, Shima, et al.
Published: (2025)
by: Shabani, Shima, et al.
Published: (2025)
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)
Stochastic Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations
by: Tran-Dinh, Quoc
Published: (2024)
by: Tran-Dinh, Quoc
Published: (2024)
An Efficient Augmented Lagrangian Method for Dynamic Optimal Transport on Surfaces Based on Second-Order Cone Programming
by: Chen, Liang, et al.
Published: (2025)
by: Chen, Liang, et al.
Published: (2025)
Bregman Stochastic Proximal Point Algorithm with Variance Reduction
by: Traoré, Cheik, et al.
Published: (2025)
by: Traoré, Cheik, et al.
Published: (2025)
On the convergence of proximal gradient methods for convex simple bilevel optimization
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Variance-Reduced Fast Operator Splitting Methods for Generalized Equations
by: Tran-Dinh, Quoc
Published: (2025)
by: Tran-Dinh, Quoc
Published: (2025)
Simplex Frank-Wolfe: Linear Convergence and Its Numerical Efficiency for Convex Optimization over Polytopes
by: Wang, Haoning, et al.
Published: (2025)
by: Wang, Haoning, et al.
Published: (2025)
Variance-Reduced Fast Krasnoselkii-Mann Methods for Finite-Sum Root-Finding Problems
by: Tran-Dinh, Quoc
Published: (2024)
by: Tran-Dinh, Quoc
Published: (2024)
Active set identification and rapid convergence for degenerate primal-dual problems
by: Díaz, Mateo, et al.
Published: (2026)
by: Díaz, Mateo, et al.
Published: (2026)
A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization
by: Song, Yongcun, et al.
Published: (2024)
by: Song, Yongcun, et al.
Published: (2024)
Convergence analysis of a primal-dual optimization-by-continuation algorithm
by: Loris, Ignace, et al.
Published: (2023)
by: Loris, Ignace, et al.
Published: (2023)
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)
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
A globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024)
by: Mannel, Florian
Published: (2024)
A structured L-BFGS method and its application to inverse problems
by: Mannel, Florian, et al.
Published: (2023)
by: Mannel, Florian, et al.
Published: (2023)
A structured L-BFGS method with diagonal scaling and its application to image registration
by: Mannel, Florian, et al.
Published: (2024)
by: Mannel, Florian, et al.
Published: (2024)
Adaptive Inertial Method
by: Long, Han, et al.
Published: (2025)
by: Long, Han, et al.
Published: (2025)
Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
by: Sujanani, Arnesh, et al.
Published: (2024)
by: Sujanani, Arnesh, et al.
Published: (2024)
Accelerated Extragradient-Type Methods -- Part 2: Generalization and Sublinear Convergence Rates under Co-Hypomonotonicity
by: Tran-Dinh, Quoc, et al.
Published: (2025)
by: Tran-Dinh, Quoc, et al.
Published: (2025)
Revisiting Extragradient-Type Methods -- Part 1: Generalizations and Sublinear Convergence Rates
by: Tran-Dinh, Quoc, et al.
Published: (2024)
by: Tran-Dinh, Quoc, et al.
Published: (2024)
cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
by: Aguirre, Jacob M., et al.
Published: (2025)
by: Aguirre, Jacob M., et al.
Published: (2025)
A Lasry-Lions envelope approach for mathematical programs with complementarity constraints
by: Wang, Jia, et al.
Published: (2025)
by: Wang, Jia, et al.
Published: (2025)
Efficient Data-Driven Leverage Score Sampling Algorithm for the Minimum Volume Covering Ellipsoid Problem in Big Data
by: Harris, Elizabeth, et al.
Published: (2024)
by: Harris, Elizabeth, et al.
Published: (2024)
Anderson Accelerated Primal-Dual Hybrid Gradient for solving LP
by: Zhou, Yingxin, et al.
Published: (2025)
by: Zhou, Yingxin, et al.
Published: (2025)
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Adaptive proximal gradient methods are universal without approximation
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices
by: Ou, Hongjia, et al.
Published: (2024)
by: Ou, Hongjia, et al.
Published: (2024)
A Busemann hybrid projection-proximal point algorithm for optimization problems on Hadamard manifolds
by: Millán, R. Díaz, et al.
Published: (2026)
by: Millán, R. Díaz, et al.
Published: (2026)
Nonsmooth Projection-Free Optimization with Functional Constraints
by: Asgari, Kamiar, et al.
Published: (2023)
by: Asgari, Kamiar, et al.
Published: (2023)
A non-monotone trust-region method with noisy oracles and additional sampling
by: Krejic, Natasa, et al.
Published: (2023)
by: Krejic, Natasa, et al.
Published: (2023)
General Optimal Step-size for ADMM-type Algorithms: Domain Parametrization and Optimal Rates
by: Ran, Yifan
Published: (2023)
by: Ran, Yifan
Published: (2023)
PDFO: A Cross-Platform Package for Powell's Derivative-Free Optimization Solvers
by: Ragonneau, Tom M., et al.
Published: (2023)
by: Ragonneau, Tom M., et al.
Published: (2023)
Similar Items
-
On $O(n)$ Algorithms for Projection onto the Top-$k$-sum Sublevel Set
by: Roth, Jake, et al.
Published: (2023) -
Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction
by: Roth, Jake, et al.
Published: (2024) -
Greedy Learning to Optimize with Convergence Guarantees
by: Fahy, Patrick, et al.
Published: (2024) -
An efficient second-order cone programming approach for dynamic optimal transport on staggered grid discretization
by: Chen, Liang, et al.
Published: (2025) -
Bilevel Learning via Inexact Stochastic Gradient Descent
by: Salehi, Mohammad Sadegh, et al.
Published: (2025)