Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies

Authors: Zeng, Donghuo, Legaspi, Roberto, Sun, Yuewen, Dong, Xinshuai, Ikeda, Kazushi, Spirtes, Peter, Zhang, Kun

Subject Terms: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction

Access URL: http://arxiv.org/abs/2503.16544

When Selection Meets Intervention: Additional Complexities in Causal Discovery

Authors: Dai, Haoyue, Ng, Ignavier, Sun, Jianle, Tang, Zeyu, Luo, Gongxu, Dong, Xinshuai, Spirtes, Peter, Zhang, Kun

Source: Proceedings of the International Conference on Learning Representations (ICLR), 2025

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2503.07302

Reflection-Window Decoding: Text Generation with Selective Refinement

Authors: Tang, Zeyu, Chen, Zhenhao, Li, Loka, Song, Xiangchen, Deng, Yunlong, Shen, Yifan, Chen, Guangyi, Spirtes, Peter, Zhang, Kun

Subject Terms: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2502.03678

Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data

Authors: Dong, Xinshuai, Ng, Ignavier, Sun, Boyang, Dai, Haoyue, Hao, Guang-Yuan, Fan, Shunxing, Spirtes, Peter, Qiu, Yumou, Zhang, Kun

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2501.18990

Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth

Authors: Ramsey, Joseph D., Andrews, Bryan, Spirtes, Peter

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Methodology, Statistics - Machine Learning, 68T37, I.2.0, I.2.6, I.6.5

Access URL: http://arxiv.org/abs/2409.20187

On the Parameter Identifiability of Partially Observed Linear Causal Models

Authors: Dong, Xinshuai, Ng, Ignavier, Huang, Biwei, Sun, Yuewen, Jin, Songyao, Legaspi, Roberto, Spirtes, Peter, Zhang, Kun

Subject Terms: Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/2407.16975

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges

Authors: Gohar, Usman, Tang, Zeyu, Wang, Jialu, Zhang, Kun, Spirtes, Peter L., Liu, Yang, Cheng, Lu

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computers and Society

Access URL: http://arxiv.org/abs/2406.06736

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome

Authors: Zeng, Donghuo, Legaspi, Roberto S., Sun, Yuewen, Dong, Xinshuai, Ikeda, Kazushi, Spirtes, Peter, Zhang, kun

Subject Terms: Computer Science - Multimedia, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction

Access URL: http://arxiv.org/abs/2404.13792

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View

Authors: Dai, Haoyue, Ng, Ignavier, Luo, Gongxu, Spirtes, Peter, Stojanov, Petar, Zhang, Kun

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Quantitative Biology - Molecular Networks

Access URL: http://arxiv.org/abs/2403.15500

Prompting Fairness: Integrating Causality to Debias Large Language Models

Authors: Li, Jingling, Tang, Zeyu, Liu, Xiaoyu, Spirtes, Peter, Zhang, Kun, Leqi, Liu, Liu, Yang

Source: The 13th International Conference on Learning Representations (ICLR 2025)

Subject Terms: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2403.08743

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables

Authors: Dong, Xinshuai, Huang, Biwei, Ng, Ignavier, Song, Xiangchen, Zheng, Yujia, Jin, Songyao, Legaspi, Roberto, Spirtes, Peter, Zhang, Kun

Subject Terms: Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/2312.11001

Procedural Fairness Through Decoupling Objectionable Data Generating Components

Authors: Tang, Zeyu, Wang, Jialu, Liu, Yang, Spirtes, Peter, Zhang, Kun

Source: The 12th International Conference on Learning Representations (ICLR 2024)

Subject Terms: Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2311.14688

Causal-learn: Causal Discovery in Python

Authors: Zheng, Yujia, Huang, Biwei, Chen, Wei, Ramsey, Joseph, Gong, Mingming, Cai, Ruichu, Shimizu, Shohei, Spirtes, Peter, Zhang, Kun

Source: Journal of Machine Learning Research 25 (2024)

Subject Terms: Computer Science - Machine Learning, Statistics - Methodology, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2307.16405

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models

Authors: Dai, Haoyue, Spirtes, Peter, Zhang, Kun

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2210.11021

The m-connecting imset and factorization for ADMG models

Authors: Andrews, Bryan, Cooper, Gregory F., Richardson, Thomas S., Spirtes, Peter

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/2207.08963

Causal discovery for observational sciences using supervised machine learning

Authors: Petersen, Anne Helby, Ramsey, Joseph, Ekstrøm, Claus Thorn, Spirtes, Peter

Subject Terms: Statistics - Methodology, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2202.12813

A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption

Authors: Wang, Shuyan, Spirtes, Peter

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/2107.01333

Learning from Positive and Unlabeled Data by Identifying the Annotation Process

Authors: Shajarisales, Naji, Spirtes, Peter, Zhang, Kun

Subject Terms: Computer Science - Machine Learning, Statistics - Methodology, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2003.01067

Methods to Expand Cell Signaling Models using Automated Reading and Model Checking

Authors: Liang, Kai-Wen, Wang, Qinsi, Telmer, Cheryl, Ravichandran, Divyaa, Spirtes, Peter, Miskov-Zivanov, Natasa

Subject Terms: Quantitative Biology - Molecular Networks

Access URL: http://arxiv.org/abs/1706.05094

Causal Discovery in the Presence of Measurement Error: Identifiability Conditions

Authors: Zhang, Kun, Gong, Mingming, Ramsey, Joseph, Batmanghelich, Kayhan, Spirtes, Peter, Glymour, Clark

Subject Terms: Statistics - Methodology, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1706.03768