Dai, Haoyue

14 publications

ICLR 2026 Characterization and Learning of Causal Graphs with Latent Confounders and Post-Treatment Selection from Interventional Data Gongxu Luo, Loka Li, Guangyi Chen, Haoyue Dai, Kun Zhang

ICLR 2026 Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables Yewei Xia, Zhengming Chen, Haoyue Dai, Fuhong Wang, Yixin Ren, Yiqing Li, Kun Zhang, Shuigeng Zhou

ICLR 2026 Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning Haoyue Dai, Immanuel Albrecht, Peter Spirtes, Kun Zhang

ICLR 2026 Score-Based Greedy Search for Structure Identification of Partially Observed Causal Models Xinshuai Dong, Ignavier Ng, Haoyue Dai, Jiaqi Sun, Xiangchen Song, Peter Spirtes, Kun Zhang

NeurIPS 2025 Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders Gongxu Luo, Haoyue Dai, Loka Li, Chengqian Gao, Boyang Sun, Kun Zhang

ICML 2025 Latent Variable Causal Discovery Under Selection Bias Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang

ICML 2025 Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang

AISTATS 2025 Type Information-Assisted Self-Supervised Knowledge Graph Denoising Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang

ICLR 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

ICLR 2024 Gene Regulatory Network Inference in the Presence of Dropouts: A Causal View Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang

AISTATS 2024 Local Causal Discovery with Linear Non-Gaussian Cyclic Models Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang

NeurIPS 2024 On Causal Discovery in the Presence of Deterministic Relations Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang

ICML 2024 Score-Based Causal Discovery of Latent Variable Causal Models Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang

NeurIPS 2022 Independence Testing-Based Approach to Causal Discovery Under Measurement Error and Linear Non-Gaussian Models Haoyue Dai, Peter Spirtes, Kun Zhang