robust optimization

Best-Effort Policies for Robust Markov Decision Processes AAAI 2026 Efficient Solution and Learning of Robust Factored MDPs AAAI 2026 Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract) AAAI 2026 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026 MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization AAAI 2026 On the Relevance of Byzantine Robust Optimization Against Data Poisoning JMLR 2026 Stationary Robust Mean-Field Games under Model Mismatches UAI 2026 Structured Credal Learning UAI 2026 TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation ACL 2026 Which Directions Matter? Sparse Design for Affine Robust Optimization UAI 2026 A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization ICLR 2025 A Robust Hybrid ACC-PM Approach for Personal Sound Zones Interspeech 2025 Data-dependent Algorithmic Robustness Analysis of Pairwise Learning ACML 2025 Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025 Efficient Optimization Algorithms for Linear Adversarial Training AISTATS 2025 GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC AAAI 2025 Hyperparametric Robust and Dynamic Influence Maximization AAAI 2025 On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025 Online MDP with Prototypes Information: A Robust Adaptive Approach AAAI 2025 Online Resource Sharing: Better Robust Guarantees via Randomized Strategies IJCAI 2025 Riemannian Bilevel Optimization JMLR 2025 Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples ICLR 2025 Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs IJCAI 2025 Robust System Identification: Finite-sample Guarantees and Connection to Regularization ICLR 2025 Scenario-Based Robust Optimization of Tree Structures AAAI 2025