# Мәзіні көшіру: Артқа қайтару контрифактуалдарының оптималды көшіру көзқарасы

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**Published:** 2026 ж. 9 қараша
**Author:** Zhangyi Liu, Pouria Fatemi, Suvrit Sra
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/kk/articles/transporting-the-past-an-optimal-transport-view-of-backtracking-counterf

arXiv:2611.08682v1 Жариялау түрі: жаңа Анықтама: Біз структуралық себеп-салдар моделілері (ССМ) үшін артқа қайтару контрифактуалды выводын оптималды көшіру призмасы арқылы зерттейміз. ССМ-да фактік байқау әдетте сыртқы айнымалыларға постерьерлік бөліністі тудырады, бұл...

arXiv:2611.08682v1 Announce Type: new Abstract: We study backtracking counterfactual inference for Structural Causal Models (SCMs) through the lens of optimal transport. In SCMs, a factual observation generally induces a posterior distribution over exogenous variables, making counterfactual inference inherently distributional. We introduce two complementary frameworks that transport this posterior onto the set of exogenous configurations satisfying a desired counterfactual query. The first constructs a natural pointwise projection and is suitable when the transported exogenous distribution can be used directly. The second enforces mutual independence among counterfactual exogenous variables, so that the transported variables remain interpretable as genuine exogenous noises of the same SCM. We show that both frameworks are consistent with the original backtracking counterfactual principle, and we propose marginal, penalty-based, and hard-constrained solvers for finite-posterior settings. Synthetic experiments on non-bijective SCMs illustrate the geometry of the problem and reveal trade-offs among transport cost, counterfactual constraint satisfaction, and preservation of exogenous independence.

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*Материал бастапқы дереккөзден алынған: [arXiv — cs.AI](https://arxiv.org/abs/2611.08682). Түпнұсқаны ашу.*

**Тегтер:** #arXiv

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