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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
Decision Making under Uncertainty: A Game of Two Selves—0
Multicriteria Group Decision-Making Under Uncertainty Using Interval Data and Cloud Models—0
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized ProteinsCode0
Stein Variational Model Predictive Control—0
DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees—0
Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment—0
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning—0
A Survey of Knowledge-based Sequential Decision Making under Uncertainty—0
Optimal Learning for Structured BanditsCode0
Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis—0
Risk Minimization, Regret Minimization and Progressive Hedging Algorithms—0
Group-Fair Online Allocation in Continuous Time—0
A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management—0
microPhantom: Playing microRTS under uncertainty and chaosCode0
Macro-Action-Based Deep Multi-Agent Reinforcement Learning—0
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding—0
Sequential Bayesian Experimental Design for Implicit Models via Mutual InformationCode0
Time discounting under uncertainty—0
Information Directed Sampling for Linear Partial Monitoring—0
Legion: Best-First Concolic Testing—0
Stochastic Finite State Control of POMDPs with LTL Specifications—0
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities—0
Quantum-like Structure in Multidimensional Relevance Judgements—0
Value of structural health information in partially observable stochastic environments—0
Decision making under uncertainty in energy systems: state of the art—0
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