Paper

Fast Nonparametric Conditional Independence Testing via Two-Stage Regression

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arXiv:2606. 18011v1 Announce Type: new Abstract: Constraint-based causal discovery relies on repeated conditional independence tests, but fast nonparametric tests often sacrifice calibration, especially when variables depend on the conditioning set through nonlinear relationships.

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Authors: Eric V. Strobl
Released: 2026-06-17 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Fast Nonparametric Conditional Independence Testing via Two-Stage Regression overlaps with clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Add C2 control arm (donor sees marker_B without marker_A) to disambiguate paired-marker binding from marker_B leaking alone". Matching terms: under, line, rate, control, stage, test. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.18011

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