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20232026
most citedIntegrating Large Language Models in Causal Discovery: A Statistical Causal Approach

6 citations · 6 across the 7 of their papers we have counts for

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stat.ME2026

Causal Discovery via Transformed Low-Rank Quantile Surfaces

Ryo Kamimura, Thong Pham

We propose Low-Rank Quantile Surfaces (LRQS), a bivariate causal model in which, in the causal direction, an unknown monotone transformation of the conditional quantile surface adm…

stat.ME2026

Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints

Tadahisa Okuda, Shohei Shimizu, Thong Pham +2

Causal discovery has achieved substantial theoretical progress, yet its deployment in large-scale longitudinal systems remains limited. A key obstacle is that operational data are…