On the Identifiability and Estimation of Causal Location-Scale Noise Models

13 October 2022

Alexander Immer

Christoph Schultheiss

Papers citing "On the Identifiability and Estimation of Causal Location-Scale Noise Models"

27 / 27 papers shown

Title
Identifying Causal Direction via Variational Bayesian Compression Quang-Duy Tran Bao Duong Phuoc Nguyen Thin Nguyen CML 34 0 0 12 May 2025
Multi-Domain Causal Discovery in Bijective Causal Models Kasra Jalaldoust Saber Salehkaleybar Negar Kiyavash CML 69 0 0 30 Apr 2025
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning Jiaru Zhang Rui Ding Qiang Fu Bojun Huang Zizhen Deng Yang Hua Haibing Guan Shi Han Dongmei Zhang CML 48 0 0 15 Feb 2025
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 34 0 0 08 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Biwei Huang Yi-An Ma Zhen Zhang 39 1 0 08 Oct 2024
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows Nu Hoang Bao Duong Thin Nguyen 37 0 0 06 Jul 2024
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency Alan Nawzad Amin Andrew Gordon Wilson CML 34 1 0 13 Jun 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 49 0 0 16 Feb 2024
Causal Bayesian Optimization via Exogenous Distribution Learning Shaogang Ren Xiaoning Qian 16 1 0 03 Feb 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model Naiyu Yin Tian Gao Yue Yu Qiang Ji CML 29 1 0 20 Dec 2023
Robust Estimation of Causal Heteroscedastic Noise Models Quang-Duy Tran Bao Duong Phuoc Nguyen Thin Nguyen 19 1 0 15 Dec 2023
Learned Causal Method Prediction Shantanu Gupta Cheng Zhang Agrin Hilmkil OOD 38 2 0 07 Nov 2023
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models Thong Pham Shohei Shimizu H. Hino Tam Le 41 6 0 02 Nov 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness A. Ehyaei G. Farnadi Samira Samadi 25 1 0 30 Oct 2023
Causal Modeling with Stationary Diffusions Lars Lorch Andreas Krause Bernhard Schölkopf DiffM 20 8 0 26 Oct 2023
Assessing the overall and partial causal well-specification of nonlinear additive noise models Christoph Schultheiss Peter Bühlmann CML 23 1 0 25 Oct 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 31 1 0 14 Aug 2023
Structural restrictions in local causal discovery: identifying direct causes of a target variable Juraj Bodik V. Chavez-Demoulin CML 23 1 0 29 Jul 2023
Heteroscedastic Causal Structure Learning Bao Duong T. Nguyen CML 27 2 0 16 Jul 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 30 9 0 06 Jun 2023
Bivariate Causal Discovery using Bayesian Model Selection Anish Dhir Samuel Power Mark van der Wilk CML 23 3 0 05 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 21 11 0 02 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 34 41 0 06 Feb 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 35 26 0 04 Feb 2023
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing Xiangyu Sun Oliver Schulte CML 26 3 0 26 Jan 2023
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model Eric V. Strobl Thomas A. Lasko CML 53 33 0 25 May 2022