… and Ensemble Method First, we train nonlinear causal models on causeeffect pairs with (maybe
partial) direction information, based on a recent nonlinear ICA method implemented by …

… build an ensemble framework, namely Causal Mosaic, which … In causeeffect inference, our
goal is to distinguish between … view explicitly nor use ensemble method as a main building …

… learning as well as in causal inference, we introduce a novel … in capturing complex nonlinear
relationships among variables, … of cause-effect datasets together with their true causal di…

… They developed Causal Mosaic, an ensemble framework … A training set of cause–effect pairs
with their corresponding causal … In summary, a novel ensemble method for bivariate causal …

… Causal mosaic: Cause-effect inference via nonlinear ICA and ensemble method. In
Proceedings of the International Conference on Artificial Intelligence and Statistics, pages 1157–…

… Causal mosaic: Cause-effect inference via nonlinear ica 293 and ensemble method. In
International Conference on Artificial Intelligence and Statistics, 294 pages 1157–1167. PMLR, …

… understand the underlying cause-effect dynamics between vari… With deep learning’s rise,
non-linear ICA has been harnessed … non-DGM methods for counterfactual inference [161, 162], …

… Causal mosaic: Cause-effect inference via nonlinear ica 530 and ensemble method. In
International Conference on Artificial Intelligence and Statistics, 531 pages 1157–1167. PMLR, …

… causal inference, which is closely related to these issues. While substantial methodological
progress has been made towards embedding complex methods … many nonlinear functions g …

… Causal mosaic: Cause-effect inference via nonlinear ica and ensemble method. In
International Conference on Artificial Intelligence and Statistics, pages 1157–1167. PMLR. …