Co-occurring keywords · papers mentioning both
robust optimization
(13)
distributionally robust optimization
(9)
markov decision process
(7)
robust reinforcement learning
(7)
robust markov decision process
(6)
sample complexity
(5)
generative model
(4)
robust policy
(3)
distributionally robust reinforcement learning
(3)
domain generalization
(3)
Papers
Robust Transfer Learning With Side Information
UAI 2026
Strongly Polynomial Time Complexity of Policy Iteration for $L_∞$ Robust MDPs
COLT 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
An Effective Manifold-based Optimization Method for Distributionally Robust Classification
ICLR 2025
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
ICML 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
AAAI 2025
Stable Fair Graph Representation Learning with Lipschitz Constraint
ICML 2025
Structure-informed Risk Minimization for Robust Ensemble Learning
ICML 2025
Conformal Inverse Optimization
NeurIPS 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
AISTATS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets
AISTATS 2024
Language Models with Conformal Factuality Guarantees
ICML 2024
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
ICML 2024
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis
UAI 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms
NeurIPS 2024
Non-Exchangeable Conformal Risk Control
ICLR 2024
One-Shot Strategic Classification Under Unknown Costs
ICML 2024
Towards Minimax Optimality of Model-based Robust Reinforcement Learning
UAI 2024
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
L4DC 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
AISTATS 2023
Model-Free Robust Average-Reward Reinforcement Learning
ICML 2023
Moderately Distributional Exploration for Domain Generalization
ICML 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NeurIPS 2023
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
CoRL 2023