Primal-Dual Methods

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Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus
Sep 7, 2026Shao-An YinPrimal-Dual Methods Lyapunov Function
ContactIPM: A Structure-Exploiting Interior-Point Solver for Contact-Implicit Trajectory Optimization
Aug 12, 2026Yucheng ChenPrimal-Dual Methods Trajectory Optimization
Safety Cost of Steering Vectors Is Separable and Reducible
Aug 9, 2026Yuxiao Li, Gjergji KasneciActivation Steering Safety
Data-Dependent Regret and Polyak Corrections for Constrained Online Convex Optimization
Jul 28, 2026Wentao ZhangConvex Optimization O(T^Β)$ Simultaneous Regret
Generative Distributionally Robust Optimization
Jul 27, 2026Ziwei Zhang, Jonathan Yu-Meng Li, Zhihao JinRobust Optimization Distributional Learning
Non-Asymptotic Variational Learning for Monotone Nonlinear Multiscale Elliptic Equations: Scale-Robust Primal-Dual Bounds and Strong-Form Statistical Ill-Conditioning
Jul 17, 2026Ronald KatendeVariational Multiscale Dynamics
Learned Pairwise Deep Dual-Optimal Inequalities for Stabilizing Column Generation
Jul 15, 2026Zhengzhong Ricky You, Bo Tang, Haoran Liu +1Vehicle Routing Problem Primal-Dual Methods
Nonconvex Composite Functional Constraints via First-Order Augmented Lagrangian Methods under Local Regularity
Jul 9, 2026Linglingzhi Zhu, Jiajin LiPrimal-Dual Methods Nonconvex
Constrained Flow Matching via Lagrangian Dual Flows
Jul 5, 2026Vince Kurtz, Alexander DavydovConditional Flow Matching Generative Models
Second-Order KKT Guarantees for Bregman ADMM in Nonconvex and Non-Lipschitz Optimization
Jun 26, 2026Shuang Li, Zhihui Zhu, Qiuwei LiConvex Optimization Nonconvex
Enabling self-supervised learned primal dual with Noise2Inverse
Jun 25, 2026Antti Sällinen, Siiri Rautio, Santeri Kaupinmäki +1Image Reconstruction Tomography
Constrained Diffusion Models with Primal-Dual Inference
Jun 15, 2026Samar Hadou, Yigit Berkay Uslu, Alejandro RibeiroDiffusion Sampling Primal-Dual Methods
Quantized Stochastic Primal-Dual Methods for Distributed Optimization under Relaxed Global Geometry
Jun 9, 2026Susmit Sarkar, Abhinav Raghuvanshi, Kushal Chakrabarti +1Primal-Dual Methods Distributed Optimization
Duality for Optimal Multi-Item, Multi-Bidder Auction Design: Revenue Certificates through Deep Learning
Jun 8, 2026Yanchen Jiang, David C. Parkes, Tonghan WangFirst-Price Auctions Primal-Dual Methods
Parameter Tuning with Generalization Guarantees for GPU-Accelerated Linear Programming
Jun 7, 2026Siddharth Prasad, Dravyansh SharmaHyperparameter Optimization Primal-Dual Methods
Learning-Augmented Online Minimization with Dual Predictions
Jun 3, 2026Christian Coester, Alexa Tudose, Alexander TuroczyLearning-Augmented Algorithms Primal-Dual Methods
Generative Modeling by Value-Driven Transport
May 21, 2026Pablo Moreno-Muñoz, Adrian Müller, Gergely NeuGenerative Models Stochastic Optimal Control
Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy
May 20, 2026Aman Saxena, Jan Schuchardt, Yan Scholten +1Differential Privacy Backdoor Attacks
Behavior-Induced Mirror-Prox Temporal-Difference Learning for Faster Off-Policy Prediction
May 16, 2026Xingguo Chen, Yuchen Shen, Shangdong Yang +3Temporal Difference Mirror Descent
Learning Weakly Communicating Average-Reward CMDPs: Strong Duality and Improved Regret
May 12, 2026Kihyun Yu, Beomhan Baek, Dabeen LeeMarkov Decision Processes Linear Regret
Primal-Dual Policy Optimization for Linear CMDPs with Adversarial Losses
May 12, 2026Kihyun Yu, Seoungbin Bae, Dabeen LeePrimal-Dual Methods Markov Decision Processes
Learning to Bid with Unknown Private Values in Budget-Constrained First-Price Auctions
May 10, 2026Zihao Hu, Yuxiao Wen, Yuan Yao +2First-Price Auctions Primal-Dual Methods
Matrix-Valued Optimism is Matrix-Valued Augmentation: Additive Hybrid Designs for Constrained Optimization
May 7, 2026Jiayi ZhaoPrimal-Dual Methods Constrained Optimization
Stability of the Monge Map in Semi-Dual Optimal Transport
May 7, 2026Anton Selitskiy, David MillardOptimal Transport Primal-Dual Methods
Stability and Generalization for Decentralized Markov SGD
May 3, 2026Jiahuan Wang, Ziqing Wen, Ping Luo +2Stochastic Gradient Descent Generalization Bounds
Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback
Apr 21, 2026Qiang Liu, Adrienne Kline, Ermin WeiReinforcement Learning From Human Feedback Deep Reinforcement Learning
Diffusion-Based Optimization for Accelerated Convergence of Redundant Dual-Arm Minimum Time Problems
Apr 17, 2026Jushan Chen, Jonathan Fried, Santiago PaternainTrajectory Optimization Primal-Dual Methods
Learning to Optimize by Differentiable Programming
Jan 23, 2026Liping Tao, Xindi Tong, Chee Wei TanDifferentiable Programming Primal-Dual Methods
Efficiency, Feasibility, and Incentive-Awareness in Constrained Online Resource Allocation
Jul 13, 2025Yan Dai, Negin Golrezaei, Patrick JailletIncentives Primal-Dual Methods
Primal-dual algorithm for contextual stochastic combinatorial optimization
May 7, 2025Louis Bouvier, Thibault Prunet, Vincent Leclère +1Stochastic Optimization Primal-Dual Methods
On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization
Feb 1, 2025Runxiong Wu, Andi WangEmpirical Risk Minimization Primal-Dual Methods