Haoyue Dai

According to our database, Haoyue Dai authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Local Causal Discovery with Linear non-Gaussian Cyclic Models.

Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang

CoRR, 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

CoRR, 2024

2023

ML4C: Seeing Causality Through Latent Vicinity.

Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

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

Haoyue Dai, Peter Spirtes, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ML4S: Learning Causal Skeleton from Vicinal Graphs.

Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

What do CNN neurons learn: Visualization & Clustering.

Haoyue Dai

CoRR, 2020