Effective Front-Descent Algorithms with Convergence Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Lapucci, Matteo, Mansueto, Pierluigi, Pucci, Davide |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cardinality-Constrained Multi-Objective Optimization: Novel Optimality Conditions and Algorithms
by: Lapucci, Matteo, et al.
Published: (2023)
by: Lapucci, Matteo, et al.
Published: (2023)
A Nonmonotone Front Descent Method for Bound-Constrained Multi-Objective Optimization
by: Mansueto, Pierluigi
Published: (2025)
by: Mansueto, Pierluigi
Published: (2025)
Projection-based curve pattern search for black-box optimization over smooth convex sets
by: Jia, Xiaoxi, et al.
Published: (2025)
by: Jia, Xiaoxi, et al.
Published: (2025)
Combining Gradient Information and Primitive Directions for High-Performance Mixed-Integer Optimization
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
On the Computation of the Efficient Frontier in Advanced Sparse Portfolio Optimization
by: Annunziata, Arturo, et al.
Published: (2025)
by: Annunziata, Arturo, et al.
Published: (2025)
A Globally Convergent Gradient Method with Momentum
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
Efficient globalization of heavy-ball type methods for unconstrained optimization based on curve searches
by: Donnini, Federica, et al.
Published: (2025)
by: Donnini, Federica, et al.
Published: (2025)
Penalty decomposition derivative free method for the minimization of partially separable functions over a convex feasible set
by: Cecere, Francesco, et al.
Published: (2025)
by: Cecere, Francesco, et al.
Published: (2025)
Convergence Conditions for Stochastic Line Search Based Optimization of Over-parametrized Models
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
A heavy-ball type curve search method for smooth convexly constrained optimization
by: Donnini, Federica, et al.
Published: (2026)
by: Donnini, Federica, et al.
Published: (2026)
Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems
by: Lapucci, Matteo, et al.
Published: (2024)
by: Lapucci, Matteo, et al.
Published: (2024)
Projected Gradient Methods with Momentum
by: Lapucci, Matteo, et al.
Published: (2026)
by: Lapucci, Matteo, et al.
Published: (2026)
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 Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization
by: Carciaghi, Francesco, et al.
Published: (2024)
by: Carciaghi, Francesco, et al.
Published: (2024)
Extending Linear Convergence of the Proximal Point Algorithm: The Quasar-Convex Case
by: de Brito, José, et al.
Published: (2025)
by: de Brito, José, et al.
Published: (2025)
Scaled Proximal Gradient Methods for Multiobjective Optimization: Improved Linear Convergence and Nesterov's Acceleration
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
Convergence-Guaranteed Algorithms for l1/2-Regularized Quadratic Programs with Assignment Constraints
by: Xie, Lijun, et al.
Published: (2025)
by: Xie, Lijun, 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)
by: Khanh, Phan Quoc, et al.
Published: (2025)
Some optimality conditions of set-valued optimization problems in locally convex topological vector spaces
by: Zeng, Renying
Published: (2024)
by: Zeng, Renying
Published: (2024)
Splitting Proximal Point Algorithms for the Sum of Prox-Convex Functions
by: de Brito, Jose, et al.
Published: (2026)
by: de Brito, Jose, et al.
Published: (2026)
High Probability Guarantees for Random Reshuffling
by: Yu, Hengxu, et al.
Published: (2023)
by: Yu, Hengxu, et al.
Published: (2023)
Generalized Reduced Jacobian Method
by: Maghri, M. El, et al.
Published: (2025)
by: Maghri, M. El, et al.
Published: (2025)
Worst-case complexity analysis of derivative-free methods for multi-objective optimization
by: Liuzzi, Giampaolo, et al.
Published: (2025)
by: Liuzzi, Giampaolo, et al.
Published: (2025)
A Subspace Minimization Barzilai-Borwein Method for Multiobjective Optimization Problems
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
First-order Methods for Unconstrained Vector Optimization Problems: A Unified Majorization-Minimization Perspective
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, 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)
First and Second Order Necessary and Sufficient Optimality Conditions of Fritz John Type for Vector Problems over Cones
by: Ivanov, Vsevolod I.
Published: (2024)
by: Ivanov, Vsevolod I.
Published: (2024)
Multiobjective Programming and Weighting Scalar Problem
by: Ivanov, Vsevolod I.
Published: (2025)
by: Ivanov, Vsevolod I.
Published: (2025)
Memetic Differential Evolution Methods for Semi-Supervised Clustering
by: Mansueto, Pierluigi, et al.
Published: (2024)
by: Mansueto, Pierluigi, et al.
Published: (2024)
Optimization over convex polyhedra via Hadamard parametrizations
by: Tang, Tianyun, et al.
Published: (2024)
by: Tang, Tianyun, 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)
A Surrogate Value Function Formulation for Bilevel Optimization
by: Xu, Mengwei, et al.
Published: (2025)
by: Xu, Mengwei, et al.
Published: (2025)
Derivative-Free Bilevel Optimization with Inexact Lower-Level Solutions
by: Cesaroni, Edoardo, et al.
Published: (2026)
by: Cesaroni, Edoardo, et al.
Published: (2026)
Bound tightening in lifted formulations: (sub)solver-dependent impact on performance in RLT-based algorithms
by: González-Díaz, Julio, et al.
Published: (2025)
by: González-Díaz, Julio, et al.
Published: (2025)
On convergence of a $q$-random coordinate constrained algorithm for non-convex problems
by: Ghaffari-Hadigheh, Alireza, et al.
Published: (2022)
by: Ghaffari-Hadigheh, Alireza, et al.
Published: (2022)
A four-operator splitting algorithm for nonconvex and nonsmooth optimization
by: Alcantara, Jan Harold, et al.
Published: (2024)
by: Alcantara, Jan Harold, et al.
Published: (2024)
Characterizations of Strongly Quasiconvex Functions
by: Hadjisavvas, Nicolas, et al.
Published: (2025)
by: Hadjisavvas, Nicolas, et al.
Published: (2025)
Sublinear Scalarizations for Proper and Approximate Proper Efficient Points in Nonconvex Vector Optimization
by: García-Castaño, Fernando, et al.
Published: (2024)
by: García-Castaño, Fernando, et al.
Published: (2024)
On the existence and the stability of solutions in nonconvex vector optimization
by: Van Nghi, Tran, et al.
Published: (2025)
by: Van Nghi, Tran, et al.
Published: (2025)
Parabolic Approximation & Relaxation for MINLP
by: Göß, Adrian, et al.
Published: (2024)
by: Göß, Adrian, et al.
Published: (2024)
Similar Items
-
Cardinality-Constrained Multi-Objective Optimization: Novel Optimality Conditions and Algorithms
by: Lapucci, Matteo, et al.
Published: (2023) -
A Nonmonotone Front Descent Method for Bound-Constrained Multi-Objective Optimization
by: Mansueto, Pierluigi
Published: (2025) -
Projection-based curve pattern search for black-box optimization over smooth convex sets
by: Jia, Xiaoxi, et al.
Published: (2025) -
Combining Gradient Information and Primitive Directions for High-Performance Mixed-Integer Optimization
by: Lapucci, Matteo, et al.
Published: (2024) -
On the Computation of the Efficient Frontier in Advanced Sparse Portfolio Optimization
by: Annunziata, Arturo, et al.
Published: (2025)