About Me

I am a final-year PhD student in machine learning at Machine Learning Center (ML@GT) and School of Mathematics, Georgia Institute of Technology, Atlanta, GA. I am fortunate to be advised by Profs. Negar Kiyavash (now at EPFL) and Mark Davenport.

My research interest mainly lies in causal discovery and causal structure learning: Identifiability and algorithms. In particular:


Publications

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) . [arxiv] [short version at NeurIPS 2023 CRL Workshop] [poster]

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]


Experiences

Work Experiences

Applied scientist intern, Amazon.
Fall 2023
Research scientist intern, Siemens Technnology.
Summer 2022, Summer 2023.

Teaching Experiences

ECE 6254: Statistical Machine Learning
TA, Spring 2024
MATH 1552: Integral Calculus
TA, Fall 2018, Spring 2019, Fall 2021
MATH 1553: Intro to Linear Algebra
TA, Summer 2021

Contact

Georgia Tech School of Mathematics
686 Cherry Street NW
Skiles Building, Room 117
Atlanta, GA 30332-0160
Office: Skiles 137
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