I obtained my PhD degree in Machine Learning from Machine Learning Center (ML@GT) and School of Mathematics, Georgia Institute of Technology, Atlanta, GA. I am fortunate to be advised by Prof. Mark Davenport and Prof. Negar Kiyavash (now at EPFL). I also work closely with Prof. Kun Zhang.
My research interest mainly lies in causal discovery and causal structure learning: Identifiability and algorithms. In particular:
Y. Yang, M. Nafea, N. Kiyavash, K. Zhang, and A. Ghassami. "Causal Discovery in Linear Models with Unobserved Variables and Measurement Error".
Preprint.
[arxiv]
Y. Yang, S. Salehkaleybar and N. Kiyavash. "Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data".
Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024) .
[proceedings]
[arxiv] [poster] [code]
[short version at NeurIPS 2023 CRL Workshop]
Y. Yang, A. Ghassami, M. Nafea, N. Kiyavash, K. Zhang, and I. Shpitser. "Causal Discovery in Linear Latent Variable Models Subject to Measurement Error".
Advances in Neural Information Processing Systems 35 (NeurIPS 2022) .
[proceedings] [arxiv] [poster] [code]
Y. Yang, M. Nafea, A. Ghassami, and N. Kiyavash. “Causal Discovery in Linear Structural Causal Models with Deterministic Relations”.
Proceedings of the first Conference on Causal Learning and Reasoning (CLeaR 2022) .
[proceedings] [arxiv] [poster] [code]