Causal Inference in the Presence of Latent Variables and Selection Bias

20 February 2013

Papers citing "Causal Inference in the Presence of Latent Variables and Selection Bias"

50 / 140 papers shown

Title
Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou Muhammad Qasim Elahi Murat Kocaoglu CML 82 0 0 02 May 2025
Analytic DAG Constraints for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu M. Gong Biwei Huang Kun Zhang Anton van den Hengel Javen Qinfeng Shi CML 48 1 0 24 Mar 2025
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies Donghuo Zeng Roberto Legaspi Yuewen Sun Xinshuai Dong Kazushi Ikeda Peter Spirtes Kun Zhang CML 54 1 0 19 Mar 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 91 7 0 13 Mar 2025
An Asymmetric Independence Model for Causal Discovery on Path Spaces Georg Manten Cecilia Casolo Søren Wengel Mogensen Niki Kilbertus 56 0 0 12 Mar 2025
When Selection Meets Intervention: Additional Complexities in Causal Discovery Haoyue Dai Ignavier Ng Jianle Sun Zeyu Tang Gongxu Luo Xinshuai Dong Peter Spirtes Kun Zhang CML 71 0 0 10 Mar 2025
Your Assumed DAG is Wrong and Here's How To Deal With It Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 40 0 0 24 Feb 2025
$ψ$ DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning Klea Ziu Slavomír Hanzely Loka Li Kun Zhang Martin Takáč Dmitry Kamzolov 40 1 0 31 Oct 2024
Identifying Selections for Unsupervised Subtask Discovery Yiwen Qiu Yujia Zheng Kun Zhang 22 0 0 28 Oct 2024
Longitudinal Causal Image Synthesis Yujia Li Han Li ans S. Kevin Zhou DiffM MedIm 28 0 0 23 Oct 2024
Learning to refine domain knowledge for biological network inference Peiwen Li Menghua Wu CML 27 1 0 18 Oct 2024
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 85 8 0 15 Sep 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 35 1 0 02 Jul 2024
Detecting and Identifying Selection Structure in Sequential Data Yujia Zheng Zeyu Tang Yiwen Qiu Bernhard Schölkopf Kun Zhang CML 23 3 0 29 Jun 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng R. Li Jundong Li CML 37 3 0 20 Jun 2024
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data Shunxing Fan Mingming Gong Kun Zhang 21 1 0 04 Jun 2024
Causal Discovery with Fewer Conditional Independence Tests Kirankumar Shiragur Jiaqi Zhang Caroline Uhler CML 25 1 0 03 Jun 2024
Dynamic Structural Causal Models Philip A. Boeken Joris M. Mooij 39 2 0 03 Jun 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders Feng Xie Zhengming Chen Shanshan Luo Wang Miao Ruichu Cai Zhi Geng CML 24 2 0 25 May 2024
Spatio-temporal Value Semantics-based Abstraction for Dense Deep Reinforcement Learning Jihui Nie Dehui Du Jiangnan Zhao AI4CE 21 0 0 24 May 2024
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology Juan L. Gamella Jonas Peters Peter Buhlmann 80 8 0 17 Apr 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis Jie Qiao Yu Xiang Zhengming Chen Ruichu Cai Zhifeng Hao 23 1 0 25 Mar 2024
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 33 0 0 14 Mar 2024
Membership Testing in Markov Equivalence Classes via Independence Query Oracles Jiaqi Zhang Kirankumar Shiragur Caroline Uhler CML 51 0 0 09 Mar 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 41 7 0 02 Feb 2024
Generalization of LiNGAM that allows confounding Joe Suzuki Tian-Le Yang 24 1 0 30 Jan 2024
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors Xinshuai Dong Haoyue Dai Yewen Fan Songyao Jin Sathyamoorthy Rajendran Kun Zhang CML 29 1 0 28 Dec 2023
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model Naiyu Yin Tian Gao Yue Yu Qiang Ji CML 19 1 0 20 Dec 2023
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants Wei Chen Zhiyi Huang Ruichu Cai Zhifeng Hao Kun Zhang CML 15 3 0 19 Dec 2023
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables Xinshuai Dong Biwei Huang Ignavier Ng Xiangchen Song Yujia Zheng Songyao Jin Roberto Legaspi Peter Spirtes Kun Zhang BDL CML 19 10 0 18 Dec 2023
Federated Causality Learning with Explainable Adaptive Optimization Dezhi Yang Xintong He Jun Wang Guoxian Yu C. Domeniconi Jinglin Zhang FedML CML 17 6 0 09 Dec 2023
Causal Fairness-Guided Dataset Reweighting using Neural Networks Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 11 1 0 17 Nov 2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks Yeshu Li Brian D. Ziebart OOD 19 0 0 10 Nov 2023
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix Yunfeng Cai Xu Li Ming Sun Ping Li CML 19 1 0 01 Nov 2023
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables Feng Xie Biwei Huang Zhen Chen Ruichu Cai Clark Glymour Zhi Geng Kun Zhang CML 20 5 0 13 Aug 2023
Causal-learn: Causal Discovery in Python Yujia Zheng Biwei Huang Wei Chen Joseph Ramsey Mingming Gong Ruichu Cai Shohei Shimizu Peter Spirtes Kun Zhang CML 21 64 0 31 Jul 2023
UPREVE: An End-to-End Causal Discovery Benchmarking System Suraj Jyothi Unni Paras Sheth Kaize Ding Huan Liu K. S. Candan CML 29 0 0 25 Jul 2023
Self-Compatibility: Evaluating Causal Discovery without Ground Truth P. M. Faller L. C. Vankadara Atalanti A. Mastakouri Francesco Locatello Dominik Janzing Karlsruhe Institute of Technology CML 11 14 0 18 Jul 2023
Causal Discovery with Language Models as Imperfect Experts Stephanie Long Alexandre Piché Valentina Zantedeschi Tibor Schuster Alexandre Drouin CML 8 36 0 05 Jul 2023
Causal Structure Learning by Using Intersection of Markov Blankets Yiran Dong Chuanhou Gao CML 15 0 0 01 Jul 2023
Discovering Dynamic Causal Space for DAG Structure Learning F. Liu Wenchang Ma An Zhang Xiang Wang Yueqi Duan Tat-Seng Chua OOD CML 11 2 0 05 Jun 2023
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation Wanpeng Zhang Yilin Li Boyu Yang Zongqing Lu CML 10 0 0 05 Jun 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders R. Y. Rohekar Shami Nisimov Yaniv Gurwicz Gal Novik CML 17 10 0 01 Jun 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants Ruichu Cai Zhiyi Huang Wei-Neng Chen Z. Hao Kun Zhang CML 22 9 0 31 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 24 37 0 17 May 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 21 9 0 05 May 2023
On the Unlikelihood of D-Separation Itai Feigenbaum Haiquan Wang Shelby Heinecke Juan Carlos Niebles Weiran Yao Caiming Xiong Devansh Arpit CML 20 1 0 10 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 24 5 0 06 Mar 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Fuchun Sun Libo Huang Z. Hao CML 26 27 0 10 Feb 2023