Peter Spirtes
Carnegie Mellon University
H-index: 51
North America-United States
Top articles of Peter Spirtes
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome | Donghuo Zeng Roberto S Legaspi Yuewen Sun Xinshuai Dong Kazushi Ikeda | 2024/4/10 | |
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning | IEEE Transactions on Neural Networks and Learning Systems | Kun Zhang Ilya Shpitser Sara Magliacane Davide Bacciu Fei Wu | 2024/4/4 |
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View | arXiv preprint arXiv:2403.15500 | Haoyue Dai Ignavier Ng Gongxu Luo Peter Spirtes Petar Stojanov | 2024/3/21 |
Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework | arXiv preprint arXiv:2403.08743 | Jingling Li Zeyu Tang Xiaoyu Liu Peter Spirtes Kun Zhang | 2024/3/13 |
Causal-learn: Causal discovery in python | Journal of Machine Learning Research | Yujia Zheng Biwei Huang Wei Chen Joseph Ramsey Mingming Gong | 2024 |
A versatile causal discovery framework to allow causally-related hidden variables | ICLR 2024 | Xinshuai Dong Biwei Huang Ignavier Ng Xiangchen Song Yujia Zheng | 2023/12/18 |
Causality in the time of llms: Round table discussion results of clear 2023 | Proceedings of Machine Learning Research vol TBD | Cheng Zhang Dominik Janzing Mihaela van der Schaar Francesco Locatello Peter Spirtes | 2023 |
Procedural Fairness Through Decoupling Objectionable Data Generating Components | arXiv preprint arXiv:2311.14688 | Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang | 2023/11/5 |
Constructing Causal Life-Course Models: Comparative Study of Data-Driven and Theory-Driven Approaches | American Journal of Epidemiology | Anne Helby Petersen Claus Thorn Ekstrøm Peter Spirtes Merete Osler | 2023/11 |
Identifying Latent State Transition Processes for Individualized Reinforcement Learning | Yuewen Sun Biwei Huang Yu Yao Donghuo Zeng Xinshuai Dong | 2023/10/13 | |
Editorial Special Issue on Causality: Fundamental Limits and Applications | IEEE Journal on Selected Areas in Information Theory | Negar Kiyavash Elias Bareinboim Todd Coleman Alex Dimakis Bernhard Schlkopf | 2023 |
Independence testing-based approach to causal discovery under measurement error and linear non-gaussian models | Advances in Neural Information Processing Systems | Haoyue Dai Peter Spirtes Kun Zhang | 2022/12/6 |
The m-connecting imset and factorization for ADMG models | arXiv preprint arXiv:2207.08963 | Bryan Andrews Gregory F Cooper Thomas S Richardson Peter Spirtes | 2022/7/18 |
A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the -Triangle-Faithfulness Assumption | Shuyan Wang Peter Spirtes | 2022/6/28 | |
Causal discovery for observational sciences using supervised machine learning | arXiv preprint arXiv:2202.12813 | Anne Helby Petersen Joseph Ramsey Claus Thorn Ekstrøm Peter Spirtes | 2022/2/25 |
Inferring causal structure in mixed populations | C Glymour P Spirtes R Scheines | 2020/11/25 | |
On the completeness of causal discovery in the presence of latent confounding with tiered background knowledge | Bryan Andrews Peter Spirtes Gregory F Cooper | 2020/6/3 | |
Learning from positive and unlabeled data by identifying the annotation process | arXiv preprint arXiv:2003.01067 | Naji Shajarisales Peter Spirtes Kun Zhang | 2020/3/2 |
Co-Authors
