Sample, estimate, aggregate: A recipe for causal discovery foundation models

2 February 2024

Papers citing "Sample, estimate, aggregate: A recipe for causal discovery foundation models"

6 / 6 papers shown

Title
Black Box Causal Inference: Effect Estimation via Meta Prediction Lucius E. J. Bynum A. Puli Diego Herrero-Quevedo Nhi Nguyen Carlos Fernandez-Granda Kyunghyun Cho Rajesh Ranganath CML 33 0 0 07 Mar 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 45 0 0 18 Feb 2025
Learning to refine domain knowledge for biological network inference Peiwen Li Menghua Wu CML 25 1 0 18 Oct 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 26 1 0 08 Oct 2024
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 133 434 0 20 Feb 2013
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 164 2,567 0 28 Mar 2008