Author

Chen Zhang

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#machine learning Sep 2025

Design of Experiment for Discovering Directed Mixed Graph

We study the design of interventions for causal discovery in simple structural causal models whose causal graphs are directed mixed graphs (DMGs) that may contain directed cycles and bidirected edges representing latent confounding. In such case, observational conditional-independence (CI) information may not identify...

Hai-Jie Xu, Chen Zhang · arXiv.org · 0 citations

#machine learning Preprint Sep 2026

FOCUS: Fixed-Confidence Online Causal Learning Using Sequential Adaptive Interventions

It is proved that \textsc{FOCUS} is $(\epsilon,\delta)$-correct and that its expected stopping time matches the lower bound in its $\Theta(\log(1/\delta)$ dependence up to an instance-dependent constant.

Hai-Jie Xu, Chen Zhang · 0 citations

#machine learning Preprint Aug 2026

Jigsaw-CRL: Recovering Global Latent Causal Order from Fragmented Multi-Client Interventions

This work proposes Jigsaw-CRL, a framework for recovering global latent causal order from a fragmented multi-client setting, where multiple clients interact with the same global latent causal system but each client only accesses and intervenes on a subset of the latent variables.

Hai-Jie Xu, Chen Zhang · 0 citations