Learning Treatment Allocations with Risk Control Under Partial Identifiability | Paper Citation Record

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This paper cites Achilles, Helen Pate Bain, Fred Bellott, Jayne Boyd-Zaharias, Jeremy Finn, John Folger, John Johnston, and Elizabeth Word.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Achilles, Helen Pate Bain, Fred Bellott, Jayne Boyd-Zaharias, Jeremy Finn, John Folger, John Johnston, and Elizabeth Word

Reference 1

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This paper cites Externally valid policy choice.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Externally valid policy choice

Reference 2

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Conformal Risk Control

Reference 3

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Recursive partitioning for heterogeneous causal effects

Reference 4

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Policy learning with observational data

Reference 5

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Distribution-free, risk-controlling prediction sets

Reference 6

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This paper cites Safe policy learning through extrapolation: Application to pre-trial risk assessment.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Safe policy learning through extrapolation: Application to pre-trial risk assessment

Reference 7

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission

Reference 8

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Optimal discrete decisions when payoffs are partially identified

Reference 9

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This paper cites Individualized decision-making under partial identification: Three perspectives, two optimality results, and one paradox.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Individualized decision-making under partial identification: Three perspectives, two optimality results, and one paradox

Reference 10

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This paper cites Risk controlled decision trees and random forests for precision medicine.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Risk controlled decision trees and random forests for precision medicine

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:05.104081Z

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Doubly robust policy evaluation and learning

Reference 12

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This paper cites Externally valid policy evaluation from randomized trials using additional observational data.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Externally valid policy evaluation from randomized trials using additional observational data

Reference 13

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This paper cites Simple heuristics that make us smart.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Simple heuristics that make us smart

Reference 14

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This paper cites The international stroke trial (ist): a randomised trial of aspirin, subcutaneous heparin, both, or neither among 19 435 patients with acute ischaemic stroke.

Learning Treatment Allocations with Risk Control Under Partial Identifiability The international stroke trial (ist): a randomised trial of aspirin, subcutaneous heparin, both, or neither among 19 435 patients with acute ischaemic stroke

Reference 15

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This paper cites Harrell Jr, Karel GM Moons, Thomas PA Debray, and Johannes B Reitsma.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Harrell Jr, Karel GM Moons, Thomas PA Debray, and Johannes B Reitsma

Reference 16

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This paper cites Off-policy risk assessment in contextual bandits.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Off-policy risk assessment in contextual bandits

Reference 17

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Sensitivity analysis for the generalization of experimental results

Reference 18

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This paper cites From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity? Journal of applied econometrics, 23 0 (3): 0 305--327, 2008.

Learning Treatment Allocations with Risk Control Under Partial Identifiability From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity? Journal of applied econometrics, 23 0 (3): 0 305--327, 2008

Reference 19

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This paper cites Causal inference in statistics, social, and biomedical sciences.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Causal inference in statistics, social, and biomedical sciences

Reference 20

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Balanced policy evaluation and learning

Reference 21

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This paper cites What's the harm? sharp bounds on the fraction negatively affected by treatment.

Learning Treatment Allocations with Risk Control Under Partial Identifiability What's the harm? sharp bounds on the fraction negatively affected by treatment

Reference 22

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Minimax-optimal policy learning under unobserved confounding

Reference 23

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Removing hidden confounding by experimental grounding

Reference 24

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Classification in the wild: The science and art of transparent decision making

Reference 25

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Observation 54b7c655-54fe-49e5-9b5a-5fe4c79b810e · outbound

This paper cites Who should be treated? empirical welfare maximization methods for treatment choice.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Who should be treated? empirical welfare maximization methods for treatment choice

Reference 26

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Experimental estimates of education production functions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:04.945248Z

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Distribution-free predictive inference for regression

Reference 28

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This paper cites Trustworthy policy learning under the counterfactual no-harm criterion.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Trustworthy policy learning under the counterfactual no-harm criterion

Reference 29

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Identification problems in the social sciences and everyday life

Reference 30

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Statistical treatment rules for heterogeneous populations

Reference 31

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Identification for prediction and decision

Reference 32

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Quasi-oracle estimation of heterogeneous treatment effects

Reference 33

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Elements of causal inference: foundations and learning algorithms

Reference 34

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Performance guarantees for individualized treatment rules

Reference 35

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 36

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Learning Treatment Allocations with Risk Control Under Partial Identifiability The international stroke trial database

Reference 37

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This paper cites Perspective on ‘harm’in personalized medicine.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Perspective on ‘harm’in personalized medicine

Reference 38

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This paper cites Origin and uses of primum non nocere—above all, do no harm! The Journal of Clinical Pharmacology, 45 0 (4): 0 371--377, 2005.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Origin and uses of primum non nocere—above all, do no harm! The Journal of Clinical Pharmacology, 45 0 (4): 0 371--377, 2005

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:04.833570Z

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Counterfactual risk minimization: Learning from logged bandit feedback

Reference 40

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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This paper cites A distributional approach for causal inference using propensity scores.

Learning Treatment Allocations with Risk Control Under Partial Identifiability A distributional approach for causal inference using propensity scores

Reference 41

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Decision curve analysis: a novel method for evaluating prediction models

Reference 42

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Algorithmic learning in a random world

Reference 43

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Source-reported events for the cited work

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Estimation and inference of heterogeneous treatment effects using random forests

Reference 44

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Source-reported events for the cited work

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Learning optimal personalized treatment rules in consideration of benefit and risk: with an application to treating type 2 diabetes patients with insulin therapies

Reference 45

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Learning Treatment Allocations with Risk Control Under Partial Identifiability All of statistics: a concise course in statistical inference

Reference 46

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Learning Treatment Allocations with Risk Control Under Partial Identifiability Epidemiology by Design: A Causal Approach to the Health Sciences

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:04.764628Z

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Observation c50f5662-2f26-4e89-b0d7-7be7585ab027 · outbound

This paper cites Optimal Decision Rules Under Partial Identification.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Optimal Decision Rules Under Partial Identification

Reference 48

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Source-reported events for the cited work

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Observation 7e6df6ec-325a-4b6e-bab7-2d861aa3da87 · outbound

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Learning Treatment Allocations with Risk Control Under Partial Identifiability A robust method for estimating optimal treatment regimes

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:04.753731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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This paper cites Using decision lists to construct interpretable and parsimonious treatment regimes.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Using decision lists to construct interpretable and parsimonious treatment regimes

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:04.743295Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45c169ba-478c-48da-a3dc-5ac2cdbe9361 · outbound

This paper cites Estimating individualized treatment rules using outcome weighted learning.

Learning Treatment Allocations with Risk Control Under Partial Identifiability Estimating individualized treatment rules using outcome weighted learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:08:04.731960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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