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Decision Making Under Uncertainty

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Showing 151–200 of 263 papers

TitleStatusHype
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
Counterfactual Explanations in Sequential Decision Making Under UncertaintyCode1
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
Conformal Uncertainty Sets for Robust Optimization—0
The Role of Entropy in Guiding a Connection Prover—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
Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis TreatmentCode1
An empirical evaluation of active inference in multi-armed banditsCode1
Decision Making under Uncertainty: A Game of Two Selves—0
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantificationCode1
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
MAGIC: Learning Macro-Actions for Online POMDP PlanningCode1
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
Bayesian Optimization of Risk MeasuresCode1
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
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal ConstraintsCode1
microPhantom: Playing microRTS under uncertainty and chaosCode0
Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesCode1
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
Gamifying the Vehicle Routing Problem with Stochastic Requests—0
Decision Making under Uncertainty: An Experimental Study in Market Settings—0
Optimal Immunization Policy Using Dynamic Programming—0
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value FunctionsCode1
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