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Robust Optimization

70 directly classified papers

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Papers

Toward Robust Neural Reconstruction from Sparse Point Sets CVPR 2025
Scenario-Based Robust Optimization of Tree Structures AAAI 2025
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach AAAI 2025
Hyperparametric Robust and Dynamic Influence Maximization AAAI 2025
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret AAAI 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NIPS 2024
Distributionally Robust Performative Prediction NIPS 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NIPS 2024
Time-Constrained Robust MDPs NIPS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion CVPR 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms NIPS 2024
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NIPS 2023
Covariate-Shift Generalization via Random Sample Weighting AAAI 2023
Tighter Robust Upper Bounds for Options via No-Regret Learning AAAI 2023
Wasserstein distributional robustness of neural networks NIPS 2023