Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias

Neural Information Processing Systems (NeurIPS), 2021

22 October 2021

Papers citing "Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias"

21 / 21 papers shown

Title
Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models Xinshuai Dong Ignavier Ng Haoyue Dai Jiaqi Sun Xiangchen Song Peter Spirtes Kun Zhang CML 83 0 0 05 Oct 2025
Efficient Ensemble Conditional Independence Test Framework for Causal Discovery Zhengkang Guan Kun Kuang CML 88 1 0 25 Sep 2025
Uncovering Bias Mechanisms in Observational Studies Ilker Demirel Zeshan Hussain Piersilvio De Bartolomeis D. Sontag CML 199 0 0 01 Jun 2025
Differentiable Causal Discovery For Latent Hierarchical Causal ModelsInternational Conference on Learning Representations (ICLR), 2024 Parjanya Prashant Ignavier Ng Kun Zhang Zhen Zhang CML 538 0 0 29 Nov 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal DiscoveryInternational Conference on Learning Representations (ICLR), 2024 Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Biwei Huang Yi-An Ma Zhen Zhang 304 3 0 08 Oct 2024
Local Causal Structure Learning in the Presence of Latent Variables Feng Xie Zheng Li Peng Wu Yan Zeng Chunchen Liu Zhi Geng CML 325 6 0 25 May 2024
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 209 6 0 14 Mar 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 211 1 0 28 Dec 2023
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables Xinshuai Dong Erdun Gao Ignavier Ng Xiangchen Song Yujia Zheng Songyao Jin Roberto Legaspi Peter Spirtes Kun Zhang BDL CML 219 22 0 18 Dec 2023
Learning Linear Gaussian Polytree Models with Interventions D. Tramontano L. Waldmann Mathias Drton Eliana Duarte 150 1 0 08 Nov 2023
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations Hang Chen Keqing Du Chenguang Li Xinyu Yang 282 3 0 02 Nov 2023
s-ID: Causal Effect Identification in a Sub-PopulationAAAI Conference on Artificial Intelligence (AAAI), 2023 Amir Mohammad Abouei Ehsan Mokhtarian Negar Kiyavash CML 175 4 0 05 Sep 2023
Identification of Nonlinear Latent Hierarchical ModelsNeural Information Processing Systems (NeurIPS), 2023 Lingjing Kong Erdun Gao Feng Xie Eric Xing Yuejie Chi Kun Zhang CML 213 25 0 13 Jun 2023
Causal Imitability Under Context-Specific Independence RelationsNeural Information Processing Systems (NeurIPS), 2023 Fatemeh Jamshidi S. Akbari Negar Kiyavash CML 231 7 0 01 Jun 2023
GT-CausIn: a novel causal-based insight for traffic prediction Ting Gao Rodrigo Marques Lei Yu CML AI4TS 81 3 0 12 Dec 2022
Latent Hierarchical Causal Structure Discovery with Rank ConstraintsNeural Information Processing Systems (NeurIPS), 2022 Erdun Gao C. Low Feng Xie Clark Glymour Kun Zhang CML 236 56 0 01 Oct 2022
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved VariablesAAAI Conference on Artificial Intelligence (AAAI), 2022 Ehsan Mokhtarian M. Khorasani Jalal Etesami Negar Kiyavash CML 181 8 0 14 Aug 2022
Causal Effect Identification in Uncertain Causal NetworksNeural Information Processing Systems (NeurIPS), 2022 S. Akbari Fatemeh Jamshidi Ehsan Mokhtarian M. Vowels Jalal Etesami Negar Kiyavash CML 239 5 0 09 Aug 2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal ModelsJournal of machine learning research (JMLR), 2022 Ehsan Mokhtarian Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash 282 6 0 20 May 2022
Experimental Design for Causal Effect Identification S. Akbari Jalal Etesami Negar Kiyavash CML 153 1 0 04 May 2022
Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust Hossein Babaei Sina Alemohammad Richard Baraniuk 257 0 0 25 Oct 2021