← Search

Gideon Stein

2 accepted papers

2026

TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations

ICLR 2026poster

Causal Discovery (CD) is a powerful framework for scientific inquiry. Yet, its practical adoption is hindered by a reliance on strong, often unverifiable assumptions and a lack of robust performance assessment. To address these limitations and advance empirical CD evaluation, we present **TCD-Arena*…

Cited by 0SourceScholar
2025

CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series

ICLR 2025spotlight

Causal discovery, or identifying causal relationships from observational data, is a notoriously challenging task, with numerous methods proposed to tackle it. Despite this, in-the-wild evaluation of these methods is still lacking, as works frequently rely on synthetic data evaluation and sparse real…

Cited by 0SourcePDFScholar