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Decision Making Under Uncertainty

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TitleStatusHype
Stochastic Conservative Contextual Linear Bandits—0
A Factor-Based Framework for Decision-Making Competency Self-Assessment—0
Linear Stochastic Bandits over a Bit-Constrained Channel—0
Decision Making in Non-Stationary Environments with Policy-Augmented Monte Carlo Tree Search—0
Evaluating Bayesian Model Visualisations—0
Efficient Belief Space Planning in High-Dimensional State Spaces using PIVOT: Predictive Incremental Variable Ordering Tactic—0
Regular Decision Processes for Grid Worlds—0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty—0
Deceptive Decision-Making Under Uncertainty—0
Learning-to-defer for sequential medical decision-making under uncertainty—0
Risk-Averse Decision Making Under Uncertainty—0
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning—0
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees—0
Sequential Stochastic Optimization in Separable Learning Environments—0
Decision making under uncertainty for deploying battery storage as a non-wire alternative in distribution networks—0
Efficient Sampling in POMDPs with Lipschitz Bandits for Motion Planning in Continuous Spaces—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
The Role of Entropy in Guiding a Connection Prover—0
Conformal Uncertainty Sets for Robust Optimization—0
Parallelizing Contextual Bandits—0
Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty—0
Structural models for policy-making: Coping with parametric uncertainty—0
On a notion of independence proposed by Teddy Seidenfeld—0
Confidence-Budget Matching for Sequential Budgeted Learning—0
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