Zeroes and Extrema of Functions via Random Measures
Fuente:
arXiv
Saved in:
| Main Author: | Micheas, Athanasios Christou |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Bilevel Hierarchy of Strengthened Complex Moment Relaxations for Complex Polynomial Optimization
by: Wang, Jie
Published: (2024)
by: Wang, Jie
Published: (2024)
Solving Low-Rank Semidefinite Programs via Manifold Optimization
by: Wang, Jie, et al.
Published: (2023)
by: Wang, Jie, et al.
Published: (2023)
A Dual Riemannian ADMM Algorithm for Low-Rank SDPs with Unit Diagonal
by: Wang, Jie, et al.
Published: (2025)
by: Wang, Jie, et al.
Published: (2025)
Exploiting Sign Symmetries in Minimizing Sums of Rational Functions
by: Guo, Feng, et al.
Published: (2024)
by: Guo, Feng, et al.
Published: (2024)
A Comparison of Models for Rolling Stock Scheduling
by: Grimm, Boris, et al.
Published: (2023)
by: Grimm, Boris, et al.
Published: (2023)
The Geometry of Linear Program Compression: An Exact Characterization and Learning Algorithm
by: Ye, Yuhan, et al.
Published: (2026)
by: Ye, Yuhan, et al.
Published: (2026)
A sensitivity-based method for bilevel optimization problems: Theoretical analysis and computational performance
by: Nolasco, Eduardo, et al.
Published: (2025)
by: Nolasco, Eduardo, et al.
Published: (2025)
Optimistic Bilevel Optimization with Composite Lower-Level Problem
by: Solla, Mattia, et al.
Published: (2026)
by: Solla, Mattia, et al.
Published: (2026)
A Structured Tour of Optimization with Finite Differences
by: Rando, Marco, et al.
Published: (2025)
by: Rando, Marco, et al.
Published: (2025)
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)
Outer Approximation Scheme for Weakly Convex Constrained Optimization Problems
by: Bednarczuk, Ewa M., et al.
Published: (2024)
by: Bednarczuk, Ewa M., et al.
Published: (2024)
Nonconvergence of a sum-of-squares hierarchy for global polynomial optimization based on push-forward measures
by: Slot, Lucas, et al.
Published: (2024)
by: Slot, Lucas, et al.
Published: (2024)
An extension of an RLT-based solver to MINLP polynomial problems
by: González-Díaz, Julio, et al.
Published: (2024)
by: González-Díaz, Julio, et al.
Published: (2024)
Sum-of-squares hierarchies for polynomial optimization and the Christoffel-Darboux kernel
by: Slot, Lucas
Published: (2021)
by: Slot, Lucas
Published: (2021)
A cutting plane algorithm for globally solving low dimensional k-means clustering problems
by: Ryner, Martin, et al.
Published: (2024)
by: Ryner, Martin, et al.
Published: (2024)
Heavy-ball Differential Equation Achieves $O(\varepsilon^{-7/4})$ Convergence for Nonconvex Functions
by: Okamura, Kaito, et al.
Published: (2024)
by: Okamura, Kaito, et al.
Published: (2024)
A Stochastic Gradient Descent Method for Globally Minimizing Nearly Convex Functions
by: Bao, Chenglong, et al.
Published: (2025)
by: Bao, Chenglong, et al.
Published: (2025)
ZOBA: An Efficient Single-loop Zeroth-order Bilevel Optimization Algorithm
by: Rando, Marco, et al.
Published: (2026)
by: Rando, Marco, et al.
Published: (2026)
Norm-induced Cuts: Outer Approximation for Lipschitzian Constraint Functions
by: Göß, Adrian, et al.
Published: (2024)
by: Göß, Adrian, et al.
Published: (2024)
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold
by: Sheng, Junda, et al.
Published: (2022)
by: Sheng, Junda, et al.
Published: (2022)
Sparse Polynomial Optimization with Unbounded Sets
by: Huang, Lei, et al.
Published: (2024)
by: Huang, Lei, et al.
Published: (2024)
A Moment-SOS Hierarchy for Robust Polynomial Matrix Inequality Optimization with SOS-Convexity
by: Guo, Feng, et al.
Published: (2023)
by: Guo, Feng, et al.
Published: (2023)
Sparse Polynomial Matrix Optimization
by: Miller, Jared, et al.
Published: (2024)
by: Miller, Jared, et al.
Published: (2024)
Depth-first directional search for nonconvex optimization
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
A Globally Convergent Gradient Method with Momentum
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)
Learning Decision-Sufficient Representations for Linear Optimization
by: Ye, Yuhan, et al.
Published: (2026)
by: Ye, Yuhan, et al.
Published: (2026)
Efficiency and Convergence Insights in Large-Scale Optimization Using the Improved Inexact-Newton-Smart Algorithm and Interior-Point Framework
by: Renani, Neda Bagheri, et al.
Published: (2025)
by: Renani, Neda Bagheri, et al.
Published: (2025)
${\varepsilon}$-optimality in reverse convex optimization
by: Maghri, M. El, et al.
Published: (2025)
by: Maghri, M. El, et al.
Published: (2025)
Global optimization of multivariable functions satisfying the Vanderbei condition
by: Arutyunova, Natalya, et al.
Published: (2019)
by: Arutyunova, Natalya, et al.
Published: (2019)
Randomized Subspace Nesterov Accelerated Gradient
by: Omiya, Gaku, et al.
Published: (2026)
by: Omiya, Gaku, et al.
Published: (2026)
A divergence-based condition to ensure quantile improvement in black-box global optimization
by: Guilmeau, Thomas, et al.
Published: (2024)
by: Guilmeau, Thomas, et al.
Published: (2024)
Parameter-free accelerated gradient descent for nonconvex minimization
by: Marumo, Naoki, et al.
Published: (2022)
by: Marumo, Naoki, et al.
Published: (2022)
Solving Constrained Affine Heaviside Composite Optimization Problems by a Progressive IP Approach
by: Zheng, Ke, et al.
Published: (2026)
by: Zheng, Ke, et al.
Published: (2026)
Accelerated-gradient-based generalized Levenberg--Marquardt method with oracle complexity bound and local quadratic convergence
by: Marumo, Naoki, et al.
Published: (2022)
by: Marumo, Naoki, et al.
Published: (2022)
Riemannian Gradient Method with Momentum
by: Leggio, Filippo, et al.
Published: (2026)
by: Leggio, Filippo, et al.
Published: (2026)
On the Semidefinite Representability of Continuous Quadratic Submodular Minimization With Applications to Moment Problems
by: Burer, Samuel, et al.
Published: (2025)
by: Burer, Samuel, et al.
Published: (2025)
Penalty-Free SDDP: Feasibility Cuts for Robust Multi-Stage Stochastic Optimization in Energy Planning
by: Freitas, Guilherme, et al.
Published: (2025)
by: Freitas, Guilherme, et al.
Published: (2025)
Optimal routing and transmission strategies for UAV reconnaissance missions with detection threats
by: Badenbroek, Riley, et al.
Published: (2024)
by: Badenbroek, Riley, et al.
Published: (2024)
Convergence Analysis of Randomized Subspace Normalized SGD under Heavy-Tailed Noise
by: Omiya, Gaku, et al.
Published: (2026)
by: Omiya, Gaku, et al.
Published: (2026)
Similar Items
-
A Bilevel Hierarchy of Strengthened Complex Moment Relaxations for Complex Polynomial Optimization
by: Wang, Jie
Published: (2024) -
Solving Low-Rank Semidefinite Programs via Manifold Optimization
by: Wang, Jie, et al.
Published: (2023) -
A Dual Riemannian ADMM Algorithm for Low-Rank SDPs with Unit Diagonal
by: Wang, Jie, et al.
Published: (2025) -
Exploiting Sign Symmetries in Minimizing Sums of Rational Functions
by: Guo, Feng, et al.
Published: (2024) -
A Comparison of Models for Rolling Stock Scheduling
by: Grimm, Boris, et al.
Published: (2023)