Counterfactual Identifiability of Bijective Causal Models

Counterfactual Identifiability of Bijective Causal Models

4 February 2023

Arash Nasr-Esfahany

MohammadIman Alizadeh

Papers citing "Counterfactual Identifiability of Bijective Causal Models"

11 / 11 papers shown

Title
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 43 0 0 05 May 2025
Multi-Domain Causal Discovery in Bijective Causal Models Kasra Jalaldoust Saber Salehkaleybar Negar Kiyavash CML 64 0 0 30 Apr 2025
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 49 2 0 03 Sep 2024
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 31 2 0 26 Oct 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 24 1 0 20 Jun 2023
ButterflyFlow: Building Invertible Layers with Butterfly Matrices Chenlin Meng Linqi Zhou Kristy Choi Tri Dao Stefano Ermon TPM 136 11 0 28 Sep 2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model Eric V. Strobl Thomas A. Lasko CML 53 33 0 25 May 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 22 19 0 02 Feb 2022
Discovery of Single Independent Latent Variable Uri Shaham Jonathan Svirsky Ori Katz Ronen Talmon CML 23 2 0 12 Oct 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 63 53 0 09 Sep 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 223 719 0 12 May 2016