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Robust Optimization

70 papers

Papers per year

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Papers

Hyperparametric Robust and Dynamic Influence Maximization 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
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
Scenario-Based Robust Optimization of Tree Structures AAAI 2025
Toward Robust Neural Reconstruction from Sparse Point Sets CVPR 2025
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms NIPS 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NIPS 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
Time-Constrained Robust MDPs NIPS 2024
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NIPS 2024
Distributionally Robust Performative Prediction NIPS 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret AAAI 2024
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion CVPR 2024
Wasserstein distributional robustness of neural networks NIPS 2023
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NIPS 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NIPS 2023
Tighter Robust Upper Bounds for Options via No-Regret Learning AAAI 2023
Covariate-Shift Generalization via Random Sample Weighting AAAI 2023