Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making | Paper Citation Record

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This paper cites Sim2real for autonomous vehicle control using executable digital twin.

Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Sim2real for autonomous vehicle control using executable digital twin

Reference 1

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Best arm identification for contaminated bandits

Reference 2

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Assessing Credibility of Computational Modeling through Verification and Validation: Application to Medical Devices

Reference 3

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 4

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A survey on digital twin: Definitions, characteristics, applications, and design implications

Reference 5

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Online decision making with high-dimensional covariates

Reference 6

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A distributional perspective on reinforcement learning

Reference 7

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Tuegel, Anthony R

Reference 8

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making The control of the false discovery rate in multiple testing under dependency

Reference 9

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making The Offset Tree for Learning with Partial Labels

Reference 10

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A Contextual Bandit Bake-off

Reference 11

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Webb, Andinet Enquobahrie, Jared Vicory, Jerry Heneghan, Robert Hubal, Stephanie TerMaath, Philip Asare, and Rachel B

Reference 12

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Mining gold from implicit models to improve likelihood-free inference

Reference 13

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Random forests

Reference 14

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This paper cites Universal Off-Policy Evaluation.

Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Universal Off-Policy Evaluation

Reference 15

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

Reference 16

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Causal Falsification of Digital Twins

Reference 17

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making The 'digital twin' to enable the vision of precision cardiology

Reference 18

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A note on data-splitting for the evaluation of significance levels

Reference 19

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Verification and validation of digital twins and virtual testbeds

Reference 20

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making The mnist database of handwritten digit images for machine learning research

Reference 22

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making UCI machine learning repository, 2017

Reference 23

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Doubly robust policy evaluation and optimization

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Doubly robust policy evaluation and optimization

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making More robust doubly robust off-policy evaluation

Reference 27

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making More robust doubly robust off-policy evaluation

Reference 28

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Conformal off-policy evaluation in markov decision processes

Reference 29

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making The limits of distribution-free conditional predictive inference

Reference 30

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A deep reinforcement learning approach to marginalized importance sampling with the successor representation

Reference 31

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This paper cites Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar.

Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar

Reference 32

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems

Reference 33

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Theoretical comparison of bootstrap confidence intervals

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Patient-specific in silico endovascular repair of abdominal aortic aneurysms: application and validation

Reference 35

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Causal Inference: What If

Reference 36

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Minors of a Class of Riordan Arrays Related to Weighted Partial Motzkin Paths

Reference 37

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A simple sequentially rejective multiple test procedure

Reference 39

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Off-Policy Risk Assessment in Contextual Bandits

Reference 41

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Correcting sample selection bias by unlabeled data

Reference 42

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Potential outcome and directed acyclic graph approaches to causality: Relevance for empirical practice in economics

Reference 43

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Confidence intervals for partially identified parameters

Reference 44

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Digital twin of an urban-integrated hydroponic farm

Reference 45

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Doubly robust off-policy value evaluation for reinforcement learning

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach

Reference 47

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Characterising the digital twin: A systematic literature review

Reference 49

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Double reinforcement learning for efficient off-policy evaluation in markov decision processes

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Confounding-robust policy improvement

Reference 51

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Minimax-optimal policy learning under unobserved confounding

Reference 52

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Optimal off-policy evaluation from multiple logging policies

Reference 53

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A probabilistic graphical model foundation for enabling predictive digital twins at scale

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Being optimistic to be conservative: Quickly learning a cvar policy

Reference 55

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Digital twin for legacy systems: Simulation model testing and validation

Reference 56

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Digital twin concepts with uncertainty for nuclear power applications

Reference 57

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Celi, Omar Badawi, Anthony C

Reference 58

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Learning multiple layers of features from tiny images

Reference 59

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Conformal Off-Policy Prediction for Multi-Agent Systems

Reference 60

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Measurement bias and effect restoration in causal inference

Reference 61

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Confident off-policy evaluation and selection through self-normalized importance weighting

Reference 62

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Generalization Ability of Wide Neural Networks on $\mathbb{R}$

Reference 63

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Development and verification of a digital twin patient model to predict treatment response in sepsis

Reference 64

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Illustrating reinforcement learning from human feedback (rlhf)

Reference 65

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Fast virtual deployment of self-expandable stents: method and in vitro evaluation for intracranial aneurysmal stenting

Reference 66

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Bandit Algorithms

Reference 67

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Dynamic treatment regimes: practical design considerations

Reference 68

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Distribution-free prediction bands for non-parametric regression

Reference 69

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Conformal inference of counterfactuals and individual treatment effects

Reference 70

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Addressing Extreme Propensity Scores via the Overlap Weights

Reference 71

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Schapire

Reference 72

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Optimal rates for spectral algorithms with least-squares regression over hilbert spaces

Reference 73

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Triply Robust Off-Policy Evaluation

Reference 74

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Breaking the curse of horizon: Infinite-horizon off-policy estimation

Reference 75

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 76

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Understanding the curse of horizon in off-policy evaluation via conditional importance sampling

Reference 77

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making B ayesian counterfactual risk minimization

Reference 78

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Causal effect inference with deep latent-variable models

Reference 79

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Rethinking Importance Weighting for Transfer Learning

Reference 80

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues

Reference 81

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

Reference 82

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

Reference 83

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Identification Problems in the Social Sciences

Reference 84

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Partial Identification of Probability Distributions

Reference 85

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A modular computational framework for medical digital twins

Reference 86

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A Full-Body Model of Burn Pathophysiology and Treatment Using the BioGears Engine

Reference 87

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Keller, Steven White, and Austin Baird

Reference 88

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Simulating ratios of normalizing constants via a simple identity: a theoretical exploration

Reference 89

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Subgaussian and differentiable importance sampling for off-policy evaluation and learning

Reference 90

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Unresolved cited work

Reference 91

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Optimal dynamic treatment regimes

Reference 92

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Off-policy policy evaluation for sequential decisions under unobserved confounding

Reference 93

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation

Reference 94

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Scaling digital twins from the artisanal to the industrial

Reference 95

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Learning Robust Decision Policies from Observational Data

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:13:45.844129Z

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Causality

Reference 97

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making The Logic of Scientific Discovery

Reference 98

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Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making Introducing LETOR 4.0 Datasets

Reference 99

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This paper cites A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect.

Uncertainty Quantification and Causal Considerations for Off-Policy Decision Making A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect

Reference 100

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