:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wolter, Axel Friedrich, Sutter, Tobias
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Machine Learning
Online Access:	https://arxiv.org/abs/2505.04494
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Timescale Primal Dual Hybrid Gradient with Application to Distributed Optimization
by: Zhang, Junhui, et al.
Published: (2025)

Adaptive Primal-Dual Method for Safe Reinforcement Learning
by: Chen, Weiqin, et al.
Published: (2024)

Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning
by: Li, Zihao, et al.
Published: (2024)

A Primal-Dual Online Learning Approach for Dynamic Pricing of Sequentially Displayed Complementary Items under Sale Constraints
by: Stradi, Francesco Emanuele, et al.
Published: (2024)

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
by: Zhu, Shuchen, et al.
Published: (2024)

Constrained Sampling with Primal-Dual Langevin Monte Carlo
by: Chamon, Luiz F. O., et al.
Published: (2024)

Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization
by: Park, Sangwoo, et al.
Published: (2025)

Online Inference of Constrained Optimization: Primal-Dual Optimality and Sequential Quadratic Programming
by: Gao, Yihang, et al.
Published: (2025)

An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation
by: Bogensperger, Lea, et al.
Published: (2024)

Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes
by: Zeng, Sihan, et al.
Published: (2021)

Towards Optimal Offline Reinforcement Learning
by: Li, Mengmeng, et al.
Published: (2025)

Near-Optimal Primal-Dual Algorithm for Learning Linear Mixture CMDPs with Adversarial Rewards
by: Yu, Kihyun, et al.
Published: (2026)

Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
by: Yang, Tong, et al.
Published: (2025)

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
by: Jiang, Liuyuan, et al.
Published: (2024)

Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization
by: Grimmer, Benjamin, et al.
Published: (2023)

Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction
by: Ying, Donghao, et al.
Published: (2022)

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
by: Ding, Dongsheng, et al.
Published: (2023)

Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds
by: Cai, Xufeng, et al.
Published: (2023)

Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
by: Huang, Ruichuan, et al.
Published: (2025)

Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
by: Lu, Haihao, et al.
Published: (2021)

Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
by: Mehta, Ronak, et al.
Published: (2024)

Primal-Dual Spectral Representation for Off-policy Evaluation
by: Hu, Yang, et al.
Published: (2024)

Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
by: Li, Jiajin, et al.
Published: (2022)

Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026)

WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
by: Suri, Dhruv, et al.
Published: (2026)

Primal-dual algorithm for contextual stochastic combinatorial optimization
by: Bouvier, Louis, et al.
Published: (2025)

Regularized Q-learning through Robust Averaging
by: Schmitt-Förster, Peter, et al.
Published: (2024)

Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control
by: Feng, Lechen, et al.
Published: (2024)

Distributional Adversarial Attacks and Training in Deep Hedging
by: He, Guangyi, et al.
Published: (2025)

Efficient Online Large-Margin Classification via Dual Certificates
by: Ho-Nguyen, Nam, et al.
Published: (2025)

Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems
by: Ozaslan, Ibrahim K., et al.
Published: (2024)

Hybrid Reinforcement Learning Framework for Mixed-Variable Problems
by: Zhai, Haoyan, et al.
Published: (2024)

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
by: Klamkin, Michael, et al.
Published: (2025)

Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps
by: Yang, Junchi, et al.
Published: (2024)

Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
by: Jiang, Jinyang, et al.
Published: (2025)

Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
by: Lin, Tianyi, et al.
Published: (2024)

Single- vs. Dual-Policy Reinforcement Learning for Dynamic Bike Rebalancing
by: Liang, Jiaqi, et al.
Published: (2024)

Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising
by: Tang, Junqi, et al.
Published: (2022)

Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way
by: Kwon, Jeongyeol, et al.
Published: (2024)

PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium
by: Ding, Shihong, et al.
Published: (2023)