mlsanityData to 14 Oct 2026

Counterfactuals for the Future

arXiv 2212.03974 ↗First posted 7 Dec 2022cs.AI cs.CY cs.LGcited by 5

Not on the map. Why?

Abstract (arXiv)

Counterfactuals are often described as 'retrospective,' focusing on hypothetical alternatives to a realized past. This description relates to an often implicit assumption about the structure and stability of exogenous variables in the system being modeled -- an assumption that is reasonable in many settings where counterfactuals are used. In this work, we consider cases where we might reasonably make a different assumption about exogenous variables, namely, that the exogenous noise terms of each unit do exhibit some unit-specific structure and/or stability. This leads us to a different use of counterfactuals -- a 'forward-looking' rather than 'retrospective' counterfactual. We introduce "counterfactual treatment choice," a type of treatment choice problem that motivates using forward-looking counterfactuals. We then explore how mismatches between interventional versus forward-looking counterfactual approaches to treatment choice, consistent with different assumptions about exogenous noise, can lead to counterintuitive results.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 13 of its 30 references that are in the map. First posted on arXiv 7 Dec 2022.

Builds on

13 of 30 references.

References · 13

  1. 2017Predict Responsibly: Improving Fairness and Accuracy by Learning to Defercited by 233
  2. 2018Delayed Impact of Fair Machine Learningcited by 184
  3. 2020Conformal Inference of Counterfactuals and Individual Treatment Effectscited by 151
  4. 2019Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Modelscited by 117
  5. 2018Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Searchcited by 82
  6. 2018A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunitycited by 53
  7. 2018Learning Optimal Fair Policiescited by 49
  8. 2018Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Makingcited by 46
  9. 2016The State of Applied Econometrics - Causality and Policy Evaluationcited by 41
  10. 2019Fair Classification and Social Welfarecited by 40
  11. 2018Downstream Effects of Affirmative Actioncited by 34
  12. 2021Disaggregated Interventions to Reduce Inequalitycited by 5
1 more
  1. 2021Fairness as Equality of Opportunity: Normative Guidance from Political Philosophycited by 4

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 3.

5 papers.