Causal-learn: Causal Discovery in Python

31 July 2023

Papers citing "Causal-learn: Causal Discovery in Python"

43 / 43 papers shown

Title
Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs Yuni Susanti Michael Färber 31 0 0 15 Apr 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 60 1 0 19 Mar 2025
SCOOP: A Framework for Proactive Collaboration and Social Continual Learning through Natural Language Interaction andCausal Reasoning Dimitri Ognibene Sabrina Patania Luca Annese Cansu Koyuturk Franca Garzotto Giuseppe Vizzari Azzurra Ruggeri Simone Colombani 41 0 0 13 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 74 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 45 0 0 24 Feb 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
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph Mátyás Schubert Tom Claassen Sara Magliacane CML 71 0 0 11 Feb 2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms R. Karlsson Jesse H. Krijthe CML 47 0 0 10 Feb 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Biwei Huang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 47 0 0 21 Jan 2025
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity Yixin Ren H. M. Zhang Yewei Xia Hao Zhang Jihong Guan Shuigeng Zhou 31 0 0 23 Dec 2024
Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery ChengAo Shen Z. Chen Dongsheng Luo Dongkuan Xu Haifeng Chen Jingchao Ni 85 3 0 18 Dec 2024
ION-C: Integration of Overlapping Networks via Constraints Praveen Nair Payal Bhandari Mohammadsajad Abavisani Sergey Plis David Danks GNN 21 0 0 06 Nov 2024
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems Kurt Butler Daniel Waxman Petar M. Djurić CML 16 0 0 30 Oct 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs Mohammad Shahverdikondori Ehsan Mokhtarian Negar Kiyavash CML 29 0 0 30 Oct 2024
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng Kevin Bello Pradeep Ravikumar Bryon Aragam CML 29 0 0 08 Oct 2024
See Me and Believe Me: Causality and Intersectionality in Testimonial Injustice in Healthcare Kenya Andrews Mesrob I. Ohannessian Elena Zheleva CML 16 0 0 02 Oct 2024
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 88 8 0 15 Sep 2024
A Full DAG Score-Based Algorithm for Learning Causal Bayesian Networks with Latent Confounders Christophe Gonzales Amir-Hosein Valizadeh BDL CML 29 0 0 20 Aug 2024
Detecting and Identifying Selection Structure in Sequential Data Yujia Zheng Zeyu Tang Yiwen Qiu Bernhard Schölkopf Kun Zhang CML 26 3 0 29 Jun 2024
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework Ruibo Tu Zineb Senane Lele Cao Cheng Zhang Hedvig Kjellström G. Henter CML 43 4 0 12 Jun 2024
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework Wei Zhou Hong Huang Guowen Zhang Ruize Shi Kehan Yin Yuanyuan Lin Bang Liu CML 50 1 0 07 Jun 2024
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley Patrick Schwab Arash Mehrjou 30 1 0 28 May 2024
Local Causal Structure Learning in the Presence of Latent Variables Feng Xie Zheng Li Peng Wu Yan Zeng Chunchen Liu Zhi Geng CML 23 2 0 25 May 2024
Fast-PGM: Fast Probabilistic Graphical Model Learning and Inference Jiantong Jiang Zeyi Wen Peiyu Yang A. Mansoor Ajmal Saeed Mian TPM 31 2 0 24 May 2024
ALICE: Combining Feature Selection and Inter-Rater Agreeability for Machine Learning Insights Bachana Anasashvili Vahidin Jeleskovic 22 0 0 13 Apr 2024
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View Haoyue Dai Ignavier Ng Gongxu Luo Peter Spirtes P. Stojanov Kun Zhang CML 19 6 0 21 Mar 2024
Towards Automated Causal Discovery: a case study on 5G telecommunication data Konstantina Biza Antonios Ntroumpogiannis Sofia Triantafillou Ioannis Tsamardinos 31 0 0 22 Feb 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 43 1 0 22 Feb 2024
Causal Representation Learning from Multiple Distributions: A General Setting Kun Zhang Shaoan Xie Ignavier Ng Yujia Zheng CML OOD 29 18 0 07 Feb 2024
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating Daisuke Takahashi Shohei Shimizu Takuma Tanaka CML 33 1 0 05 Feb 2024
Efficient Causal Graph Discovery Using Large Language Models Thomas Jiralerspong Xiaoyin Chen Yash More Vedant Shah Yoshua Bengio CML 29 19 0 02 Feb 2024
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach Masayuki Takayama Tadahisa Okuda Thong Pham T. Ikenoue Shingo Fukuma Shohei Shimizu Akiyoshi Sannai 79 16 0 02 Feb 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
Is Knowledge All Large Language Models Needed for Causal Reasoning? Hengrui Cai Shengjie Liu Rui Song LRM ELM 20 10 0 30 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 36 2 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
Structured Neural Networks for Density Estimation and Causal Inference Asic Q. Chen Ruian Shi Xiang Gao Ricardo Baptista Rahul G. Krishnan CML TPM 29 4 0 03 Nov 2023
UPREVE: An End-to-End Causal Discovery Benchmarking System Suraj Jyothi Unni Paras Sheth Kaize Ding Huan Liu K. S. Candan CML 31 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 14 14 0 18 Jul 2023
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Biwei Huang Kun Zhang CML 21 21 0 04 Apr 2023
BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs F. Castelletti Alessandro Mascaro CML 17 3 0 28 Jan 2022
gCastle: A Python Toolbox for Causal Discovery Keli Zhang Shengyu Zhu Marcus Kalander Ignavier Ng Junjian Ye Zhitang Chen Lujia Pan CML 24 60 0 30 Nov 2021
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 147 435 0 20 Feb 2013