Robust Optimization

Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 Robust Decision-Focused Learning via Worst-Case Regret Minimization UAI 2026 Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach L4DC 2026 Which Directions Matter? Sparse Design for Affine Robust Optimization UAI 2026 Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025 A Robust Hybrid ACC-PM Approach for Personal Sound Zones Interspeech 2025 Certifiably Quantisation-Robust training and inference of Neural Networks AISTATS 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 Hyperparametric Robust and Dynamic Influence Maximization AAAI 2025 Online MDP with Prototypes Information: A Robust Adaptive Approach AAAI 2025 Out-of-distribution Robust Optimization UAI 2025 Robust Control of Uncertain Switched Affine Systems via Scenario Optimization L4DC 2025 Robust System Identification: Finite-sample Guarantees and Connection to Regularization ICLR 2025 Scenario-Based Robust Optimization of Tree Structures AAAI 2025 Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025 Toward Robust Neural Reconstruction from Sparse Point Sets CVPR 2025 A Discretization Framework for Robust Contextual Stochastic Optimization ICLR 2024 A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion CVPR 2024 Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret AAAI 2024 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions UAI 2024 Distributionally Robust Performative Prediction NeurIPS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024 E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024