Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Rajoriya, Vaibhav, Pradhan, Prateek Priyaranjan, Rajawat, Ketan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Sequential Quadratic Programming for Optimization with Functional Constraints
by: Sanyal, Panchajanya, et al.
Published: (2025)
by: Sanyal, Panchajanya, et al.
Published: (2025)
Communication-Constrained Energy-Optimal Trajectory Generation for Quadrotor UAVs in Urban Environments
by: Pradhan, Prateek Priyaranjan, et al.
Published: (2026)
by: Pradhan, Prateek Priyaranjan, et al.
Published: (2026)
Constrained Stochastic Recursive Momentum Successive Convex Approximation
by: Idrees, Basil M., et al.
Published: (2024)
by: Idrees, Basil M., et al.
Published: (2024)
Optimized Gradient Tracking for Decentralized Online Learning
by: Sharma, Shivangi Dubey, et al.
Published: (2023)
by: Sharma, Shivangi Dubey, et al.
Published: (2023)
Analysis of Decentralized Stochastic Successive Convex Approximation for composite non-convex problems
by: Idrees, Basil M., et al.
Published: (2024)
by: Idrees, Basil M., et al.
Published: (2024)
A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization
by: Pougkakiotis, Spyridon, et al.
Published: (2022)
by: Pougkakiotis, Spyridon, et al.
Published: (2022)
Decentralized Stochastic Constrained Optimization via Prox-Linearization
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
by: Sharma, Shivangi Dubey, et al.
Published: (2026)
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)
by: Bastianello, Nicola, et al.
Published: (2020)
Universal Gradient Methods for Stochastic Convex Optimization
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
Adaptive Proximal Gradient Method for Convex Optimization
by: Malitsky, Yura, et al.
Published: (2023)
by: Malitsky, Yura, et al.
Published: (2023)
Sharpened Lazy Incremental Quasi-Newton Method
by: Lahoti, Aakash, et al.
Published: (2023)
by: Lahoti, Aakash, et al.
Published: (2023)
Convergence of the Iterates of the Stochastic Proximal Gradient Method
by: Madariaga, Javier I.
Published: (2026)
by: Madariaga, Javier I.
Published: (2026)
Deterministic and Stochastic Accelerated Gradient Method for Convex Semi-Infinite Optimization
by: Yao, Yao, et al.
Published: (2023)
by: Yao, Yao, et al.
Published: (2023)
Beyond Convexity: Proximal-Perturbed Lagrangian Methods for Efficient Functional Constrained Optimization
by: Moon, Sang Bin, et al.
Published: (2024)
by: Moon, Sang Bin, et al.
Published: (2024)
Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
by: Zhu, Dongxuan, et al.
Published: (2025)
by: Zhu, Dongxuan, et al.
Published: (2025)
Stochastic Approximation Proximal Subgradient Method for Stochastic Convex-Concave Minimax Optimization
by: Dai, Yu-Hong, et al.
Published: (2024)
by: Dai, Yu-Hong, et al.
Published: (2024)
A Proximal Descent Method for Minimizing Weakly Convex Optimization
by: Liao, Feng-Yi, et al.
Published: (2025)
by: Liao, Feng-Yi, et al.
Published: (2025)
Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints
by: Dahal, Hari, et al.
Published: (2023)
by: Dahal, Hari, et al.
Published: (2023)
A Proximal Method for Composite Optimization with Smooth and Convex Components
by: Uzun, Samet, et al.
Published: (2025)
by: Uzun, Samet, et al.
Published: (2025)
The Stochastic Multi-Proximal Method for Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2025)
by: Condat, Laurent, et al.
Published: (2025)
Distributed Adaptive Gradient Algorithm with Gradient Tracking for Stochastic Non-Convex Optimization
by: Han, Dongyu, et al.
Published: (2024)
by: Han, Dongyu, et al.
Published: (2024)
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization
by: Liang, Ling, et al.
Published: (2024)
by: Liang, Ling, et al.
Published: (2024)
Inexact and Implementable Accelerated Newton Proximal Extragradient Method for Convex Optimization
by: Huang, Ziyu, et al.
Published: (2024)
by: Huang, Ziyu, et al.
Published: (2024)
Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)
by: Huang, Chengzhi, et al.
Published: (2024)
Interwoven SDP in Primal-Dual Proximal Splitting Methods for Adjustable Robust Convex Optimisation with SOS-Convex Polynomial Constraints
by: Dizon, Neil D., et al.
Published: (2026)
by: Dizon, Neil D., et al.
Published: (2026)
Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks
by: Huang, Kun, et al.
Published: (2024)
by: Huang, Kun, et al.
Published: (2024)
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)
by: Wang, Qingsong, et al.
Published: (2024)
Adaptive Accelerated Gradient Method for Smooth Convex Optimization
by: Wang, Zepeng, et al.
Published: (2025)
by: Wang, Zepeng, et al.
Published: (2025)
Adaptive Accelerated Gradient Descent Methods for Convex Optimization
by: Xu, Zeyi, et al.
Published: (2026)
by: Xu, Zeyi, et al.
Published: (2026)
A Simple Adaptive Proximal Gradient Method for Nonconvex Optimization
by: Ye, Zilong, et al.
Published: (2025)
by: Ye, Zilong, et al.
Published: (2025)
Optimal Acceleration for Proximal Minimization of the Sum of Convex and Strongly Convex Functions
by: Chari, Govind M., et al.
Published: (2026)
by: Chari, Govind M., et al.
Published: (2026)
Stochastic Bregman Proximal Gradient Method Revisited: Kernel Conditioning and Painless Variance Reduction
by: Zhang, Junyu
Published: (2024)
by: Zhang, Junyu
Published: (2024)
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
by: Livni, Roi
Published: (2024)
by: Livni, Roi
Published: (2024)
Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
by: Kovalev, Dmitry
Published: (2026)
by: Kovalev, Dmitry
Published: (2026)
Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity
by: Chen, Lesi, et al.
Published: (2025)
by: Chen, Lesi, et al.
Published: (2025)
Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025)
by: Chengzhi, Huang
Published: (2025)
A Proximal Gradient Method with an Explicit Line search for Multiobjective Optimization
by: Bello-Cruz, Yunier, et al.
Published: (2024)
by: Bello-Cruz, Yunier, et al.
Published: (2024)
La Méthode du Gradient Proximé
by: Combettes, Patrick L.
Published: (2025)
by: Combettes, Patrick L.
Published: (2025)
Complexity of Projected Gradient Methods for Strongly Convex Optimization with Hölder Continuous Gradient Terms
by: Chen, Xiaojun, et al.
Published: (2026)
by: Chen, Xiaojun, et al.
Published: (2026)
Weak Proximal Newton Oracles for Composite Convex Optimization
by: Garber, Dan
Published: (2025)
by: Garber, Dan
Published: (2025)
Similar Items
-
Stochastic Sequential Quadratic Programming for Optimization with Functional Constraints
by: Sanyal, Panchajanya, et al.
Published: (2025) -
Communication-Constrained Energy-Optimal Trajectory Generation for Quadrotor UAVs in Urban Environments
by: Pradhan, Prateek Priyaranjan, et al.
Published: (2026) -
Constrained Stochastic Recursive Momentum Successive Convex Approximation
by: Idrees, Basil M., et al.
Published: (2024) -
Optimized Gradient Tracking for Decentralized Online Learning
by: Sharma, Shivangi Dubey, et al.
Published: (2023) -
Analysis of Decentralized Stochastic Successive Convex Approximation for composite non-convex problems
by: Idrees, Basil M., et al.
Published: (2024)