primal-dual method

Quantized Stochastic Primal–Dual Methods for Distributed Optimization under Relaxed Global Geometry UAI 2026 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025 Feasible Learning AISTATS 2025 Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems AISTATS 2025 MAP: Multi-Human-Value Alignment Palette ICLR 2025 Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints AISTATS 2025 TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization ICML 2025 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Primal-Dual Approach to Solving Variational Inequalities with General Constraints ICLR 2024 A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints NeurIPS 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 Off-Policy Primal-Dual Safe Reinforcement Learning ICLR 2024 Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024 Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NeurIPS 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems NeurIPS 2023 Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023 Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NeurIPS 2023 Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling NeurIPS 2022 A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP NeurIPS 2022