Level Constrained First Order Methods for Function Constrained Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Boob, Digvijay, Deng, Qi, Lan, Guanghui |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
by: Dezfulian, Shima, et al.
Published: (2024)
by: Dezfulian, Shima, et al.
Published: (2024)
Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026)
by: Jin, Ruinan, et al.
Published: (2026)
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)
An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
by: Curtis, Frank E., et al.
Published: (2025)
by: Curtis, Frank E., et al.
Published: (2025)
Exploiting cone approximations in an augmented Lagrangian method for conic optimization
by: Fukuda, Mituhiro, et al.
Published: (2024)
by: Fukuda, Mituhiro, et al.
Published: (2024)
On Tackling High-Dimensional Nonconvex Stochastic Optimization via Stochastic First-Order Methods with Non-smooth Proximal Terms and Variance Reduction
by: Xie, Yue, et al.
Published: (2025)
by: Xie, Yue, et al.
Published: (2025)
First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity
by: Scheinberg, Katya, et al.
Published: (2023)
by: Scheinberg, Katya, et al.
Published: (2023)
Variational Poisson Denoising via Augmented Lagrangian Methods
by: Kanzow, Christian, et al.
Published: (2023)
by: Kanzow, Christian, et al.
Published: (2023)
Switching Point Optimization for Abstract Parabolic Equations
by: Buchheim, Christoph, et al.
Published: (2026)
by: Buchheim, Christoph, et al.
Published: (2026)
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
by: Bollapragada, Raghu, et al.
Published: (2025)
by: Bollapragada, Raghu, et al.
Published: (2025)
Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints
by: Berahas, Albert S., et al.
Published: (2025)
by: Berahas, Albert S., et al.
Published: (2025)
Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
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)
Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
by: Bai, Xiaoning, et al.
Published: (2024)
by: Bai, Xiaoning, et al.
Published: (2024)
PANOC-lite: A simpler and more efficient algorithm for composite minimization
by: Bodard, Alexander, et al.
Published: (2026)
by: Bodard, Alexander, 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)
Penalty Interior-Point Method Fails to Converge
by: Leyffer, Sven
Published: (2003)
by: Leyffer, Sven
Published: (2003)
Cubic Regularization Technique of the Newton Method for Vector Optimization
by: Ghosh, Debdas
Published: (2025)
by: Ghosh, Debdas
Published: (2025)
Bias-Variance Trade-off for Clipped Stochastic First-Order Methods: From Bounded Variance to Infinite Mean
by: He, Chuan
Published: (2025)
by: He, Chuan
Published: (2025)
On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
by: Wu, Hanju, et al.
Published: (2025)
by: Wu, Hanju, 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)
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
by: Lin, Zhenwei, et al.
Published: (2022)
by: Lin, Zhenwei, et al.
Published: (2022)
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)
Trust-Region Method for Optimization of Set-Valued Maps Given by Finitely Many Functions
by: Ghosh, Suprova, et al.
Published: (2025)
by: Ghosh, Suprova, et al.
Published: (2025)
New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications
by: Wang, Xuejie, et al.
Published: (2023)
by: Wang, Xuejie, et al.
Published: (2023)
Modified limited memory BFGS with displacement aggregation and its application to the largest eigenvalue problem
by: Sahu, Manish Kumar, et al.
Published: (2023)
by: Sahu, Manish Kumar, et al.
Published: (2023)
A Two Stepsize SQP Method for Nonlinear Equality Constrained Stochastic Optimization
by: O'Neill, Michael J.
Published: (2024)
by: O'Neill, Michael J.
Published: (2024)
Alternating minimization for square root principal component pursuit
by: Deng, Shengxiang, et al.
Published: (2024)
by: Deng, Shengxiang, et al.
Published: (2024)
One-parameter Filled Function Method for Non-convex Multi-objective Optimization Problems
by: Adhikary, Bikram, et al.
Published: (2026)
by: Adhikary, Bikram, et al.
Published: (2026)
A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025)
by: Fang, Changjie, et al.
Published: (2025)
Tractable downfall of basis pursuit in structured sparse optimization
by: Marmary, Maya V., et al.
Published: (2025)
by: Marmary, Maya V., et al.
Published: (2025)
Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization
by: Zhang, Minxin, et al.
Published: (2024)
by: Zhang, Minxin, et al.
Published: (2024)
Flexible block-iterative analysis for the Frank-Wolfe algorithm
by: Braun, Gábor, et al.
Published: (2024)
by: Braun, Gábor, et al.
Published: (2024)
Riemannian Interior Point Methods for Constrained Optimization on Manifolds
by: Lai, Zhijian, et al.
Published: (2022)
by: Lai, Zhijian, et al.
Published: (2022)
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)
Optimization Problems with Difference of Tangentially Convex Functions under Uncertainty
by: Mashkoorzadeh, Feryal, et al.
Published: (2026)
by: Mashkoorzadeh, Feryal, et al.
Published: (2026)
Revisiting the Geometrically Decaying Step Size: Linear Convergence for Smooth or Non-Smooth Functions
by: Kim, Jihun
Published: (2025)
by: Kim, Jihun
Published: (2025)
Dual dynamic programming for stochastic programs over an infinite horizon
by: Ju, Caleb, et al.
Published: (2023)
by: Ju, Caleb, et al.
Published: (2023)
Model-Driven Subspaces for Large-Scale Optimization with Local Approximation Strategy
by: He, Yitong, et al.
Published: (2025)
by: He, Yitong, et al.
Published: (2025)
An Inexact Regularized Proximal Newton Method without Line Search
by: Dahl, Simeon vom, et al.
Published: (2024)
by: Dahl, Simeon vom, et al.
Published: (2024)
Similar Items
-
On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
by: Dezfulian, Shima, et al.
Published: (2024) -
Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026) -
Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
by: Fatkhullin, Ilyas, et al.
Published: (2025) -
An Interior-Point Algorithm for Continuous Nonlinearly Constrained Optimization with Noisy Function and Derivative Evaluations
by: Curtis, Frank E., et al.
Published: (2025) -
Exploiting cone approximations in an augmented Lagrangian method for conic optimization
by: Fukuda, Mituhiro, et al.
Published: (2024)